Image diagnosis system, image diagnosis method, and image diagnosis program

Abstract

An image diagnostic system and an image diagnostic method that can improve the reliability of diagnoses using images of specific human body parts and also improve the confidentiality and security of personal information. and, Imaging Diagnostic Program M provide. Image diagnostic system M is diagnostic information, which is information on the contents of a diagnosis regarding a specific part of a human body; Information, and image information that is information on an image including a specific part of the human body. News Diagnostic information acquisition method Steps , diagnostic information News and Image information News Obtain and analyze diagnostic information Informing Based on the image information Informing The image is processed so that at least a part of the image is invisible or difficult to see, and the image is used for diagnosis. News Image generation method to generate Steps , diagnostic image information News When the diagnosis is completed, the diagnostic image information is News The image can be classified into either diagnostic content or specific areas and stored in a memory. Step by step Saved imaging diagnostic procedures Step by step, Equipped with.

Description

[Technical Field]

[0001] The present invention relates to a technique for processing an image of a specific part of a human body to delete information unnecessary for the diagnosis when the image is used for diagnosis. [Background technology]

[0002] BACKGROUND ART Skin analysis devices that can easily modify facial parts of a facial image have been proposed (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7361264 Summary of the Invention [Problem to be solved by the invention]

[0004] However, conventional devices have had the problem of low confidentiality and safety for face images, which are personal information.

[0005] In view of the above circumstances, the present invention provides an image diagnostic system, an image diagnostic method, and an image diagnostic method that can improve the reliability of diagnosis using images of specific parts of a human body and also improve the confidentiality and safety of personal information. and, Imaging Diagnostic Program M It is what we intend to provide. [Means for solving the problem]

[0006] The image diagnostic system according to the present invention is characterized by comprising: a diagnostic information acquisition means for acquiring diagnostic information, which is information on the content of a diagnosis relating to a specific part of a human body, and image information, which is information on an image including the specific part of the human body; an image generation means for acquiring the diagnostic information and the image information, and for generating diagnostic image information by processing the image information based on the diagnostic information so that at least a portion of the image becomes invisible or difficult to see; and an image diagnostic means for performing the diagnosis using the diagnostic image information, and, when the diagnosis is completed, classifying the diagnostic image information into either the content of the diagnosis or the specific part and storing the classified information in an image storage means.

[0007] Further, the imaging diagnostic method according to the present invention comprises: The computer a diagnostic information acquisition step of acquiring diagnostic information, which is information on diagnostic content relating to a specific part of a human body, and image information, which is information on an image including the specific part of the human body; The computer an image generating step of acquiring the diagnostic information and the image information, and generating diagnostic image information by processing the image information based on the diagnostic information so that at least a part of the image becomes invisible or difficult to see; The computer an image diagnosis step of performing the diagnosis using the diagnostic image information, and when the diagnosis is completed, classifying the diagnostic image information into either the content of the diagnosis or the specific region and storing the classified information in an image storage means; At least it's doable The imaging diagnostic method is characterized by the above.

[0008] Furthermore, the image diagnostic program of the present invention is an image diagnostic program characterized by causing a computer to function as: diagnostic information acquisition means for acquiring diagnostic information, which is information on the content of a diagnosis related to a specific part of a human body, and image information, which is information on an image including the specific part of the human body; image generation means for acquiring the diagnostic information and the image information and, based on the diagnostic information, processing the image information so that at least a portion of the image becomes invisible or difficult to see, thereby generating diagnostic image information; and image diagnostic means for performing the diagnosis using the diagnostic image information and, when the diagnosis is completed, classifying the diagnostic image information into either the content of the diagnosis or the specific part and storing the classified information in image storage means. [Effects of the Invention]

[0010] The image diagnostic system and image diagnostic method according to the present invention, and, Imaging Diagnostic Program Mu This has the excellent effect of improving the reliability of diagnosis using images of specific human body parts, as well as improving the confidentiality and safety of personal information. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a schematic diagram showing an overview of an image diagnostic system 10 according to the present embodiment. [Figure 2] 1 is a system configuration diagram showing an example of the configuration of an image diagnostic system 10 according to the present embodiment. [Figure 3] 10A is a diagram showing an example in which diagnostic image information DGI is classified into diagnosis contents and stored, and FIG. 10B is a diagram showing an example in which diagnostic image information DGI is classified into specific regions and stored. DETAILED DESCRIPTION OF THE INVENTION

[0012] An image diagnostic system 10 according to an embodiment of the present invention will be described below with reference to the drawings.

[0013] <System Overview> First, an overview of an image diagnostic system 10 according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a schematic diagram showing an overview of an image diagnostic system 10 according to this embodiment.

[0014] The image diagnostic system 10 is a system comprising: a diagnostic information acquisition means 12a that acquires diagnostic information DI, which is information on the content of a diagnosis relating to a specific part of a human body, and image information GI, which is information on an image including the specific part of a human body; an image generation means 12b that acquires the diagnostic information DI and the image information GI, and processes the image information GI based on the diagnostic information DI to make at least a part of the image invisible or difficult to see, thereby generating diagnostic image information DGI; and an image diagnosis means 12c that performs a diagnosis using the diagnostic image information DGI, and when the diagnosis is completed, classifies the diagnostic image information DGI into either the content of the diagnosis or a specific part, and stores the classified information in an image storage means 12d.

[0015] Here, "specific human body parts" include the human face, scalp, hair, eyes, nose, ears, arms, legs, upper body, lower body, internal organs such as the stomach and liver, etc. Furthermore, "diagnosis related to specific human body parts" includes skin diagnosis, scalp diagnosis, contour diagnosis, pathological diagnosis, health checkup, etc.

[0016] According to the image diagnostic system 10, diagnostic image information DGI is generated by processing image information GI based on diagnostic information DI so that at least a portion of the image becomes invisible or difficult to see, thereby improving the reliability of diagnoses using images of specific human body parts and enhancing the confidentiality and safety of personal information. Furthermore, diagnostic image information can be stored by purpose (by diagnosis content or by body part), thereby improving security and search efficiency.

[0017] The image generating means 12b also generates diagnostic image information DGI by performing processing to delete image information unnecessary for diagnosis or by adding noise to image information unnecessary for diagnosis.

[0018] With this configuration, images that are not necessary for diagnosis can be made invisible or difficult to see, thereby further improving the confidentiality and safety of personal information.

[0019] Furthermore, the processing performed by the image generating means 12b is irreversible.

[0020] With this configuration, it becomes impossible to restore diagnostic image information to the image information before processing, and therefore the confidentiality and safety of personal information can be further improved.

[0021] <System configuration example> Next, an example of the configuration of the diagnostic imaging system 10 according to this embodiment will be described with reference to Fig. 2. Fig. 2 is a system configuration diagram showing an example of the configuration of the diagnostic imaging system 10 according to this embodiment.

[0022] The image diagnostic system 10 can be configured, for example, to include a system terminal 12 that controls the entire system, and an external storage 14 and an external terminal 16 that are connected to the system terminal 12 via a network NW so that they can communicate with each other.

[0023] The system terminal 12 is a terminal that controls the entire image diagnostic system 10, and is configured with a conventionally known server, personal computer, etc. In this example, the system terminal 12 is configured with one server, but it may be configured with multiple servers, personal computers, etc. The hardware configuration of the system terminal 12 and the programs executed by the system terminal 12 will be described later.

[0024] The external storage 14 is an image storage means capable of saving (storing) the diagnostic image information DGI, and in this example, is configured as a server equipped with a large-capacity storage medium. Note that instead of providing the external storage 14, the storage device 26 provided in the system terminal 12 may be used as internal storage for saving (storing) the diagnostic image information DGI.

[0025] The external terminal 16 is a terminal used by users who perform image-based diagnoses, and medical and beauty professionals who assist them, and is configured as a personal computer, tablet, smartphone, etc. The type of external terminal 16 is not particularly limited, but includes, for example, a smartphone, personal computer, or tablet used by an individual, or a personal computer, tablet, etc. installed in a medical institution, cosmetics counter, beauty salon, etc.

[0026] The network NW is a line that allows the system terminal 12, the external storage 14, and the external terminal 16 to communicate with each other, and is typically configured as a WAN (Wide Area Network), also known as the Internet. The network NW may be wired or wireless, may be a LAN (Local Area Network), may be a dedicated line such as a VPN (Virtual Private Network), or may be a combination of these lines.

[0027] <System terminal / hardware configuration example> Next, an example of the hardware configuration of the system terminal 12 will be described.

[0028] As shown in FIG. 2, the system terminal 12 is configured to include, for example, a CPU 21, a ROM 22, a RAM 23, an external storage drive 25, a storage device 26, an input device 27, a display device 28, a communication unit 29, etc., all of which are connected to the CPU 21 via a bus.

[0029] The CPU 21 is a control means that controls the entire system terminal 12, and performs processes such as executing application programs and operating systems (OS) stored in the ROM 22, storage device 26, etc., and storing data, files, etc. required for program execution in the RAM 23, storage device 26, etc.

[0030] The ROM 22 is a storage means for storing basic I / O programs and various data, and is configured, for example, by a PROM, flash memory, etc. The RAM 23 is a storage means for temporarily storing data, and is configured, for example, by an SDRAM, DRAM, etc. The external storage drive 25 is a control means capable of reading and writing data from and to a recording medium 24 such as a magnetic tape or DVD, and is configured, for example, by a magnetic tape storage, DVD drive, etc.

[0031] The storage device 26 is a storage means for storing application programs, OS, control programs, related programs, various information, etc., and is configured, for example, by a hard disk (HDD), solid state drive (SDD), etc. The input device 27 is used to input commands (instructions) etc. to the system terminal 12, and is configured, for example, by a keyboard, a pointing device (mouse, etc.), a touch panel, etc.

[0032] The display device 28 displays commands input by the input device 27, response outputs from the system terminal 12 to the commands, various displays, etc., and is configured, for example, by a liquid crystal display, a plasma display, an organic EL display, etc. The communication unit 29 is control means for controlling communication with the external storage 14, the external terminal 16, etc. via the network NW, and is configured, for example, by a communication card, etc.

[0033] <Management terminal / function> Next, the functions of the system terminal 12 will be described.

[0034] The storage device 26 of the system terminal 12 stores a program (image diagnosis program) that causes the system terminal 12 to function as a diagnostic information acquisition means 12a, an image generation means 12b, and an image diagnosis means 12c.

[0035] <Management terminal / function / diagnostic information acquisition method> Next, the diagnostic information acquisition means 12a will be described.

[0036] The diagnostic information acquisition means 12a is a means for acquiring diagnostic information DI, which is information on the diagnostic content relating to a specific part of a human body, and image information GI, which is information on an image including the specific part of the human body, and in this example, is composed of a program stored in the memory device 26 of the system terminal 12, the memory device 26, etc.

[0037] Here, "specific human body parts" include the human face, scalp, hair, eyes, nose, ears, arms, legs, upper body, lower body, internal organs such as the stomach and liver, etc. Furthermore, "diagnosis related to specific human body parts" includes skin diagnosis, scalp diagnosis, contour diagnosis, pathological diagnosis, health checkup, etc.

[0038] The diagnostic information acquisition means 12a acquires the diagnostic content (e.g., text data such as "scalp diagnosis") and image (e.g., image data of an image capturing the entire face) input by a system user using the external terminal 16 as diagnostic information DI and image information GI, respectively, and stores the acquired diagnostic information DI and image information GI in the storage device 26 in association with the user's ID.

[0039] Examples of combinations of diagnostic information DI and image information GI include text data indicating that it is a scalp diagnosis (e.g., "scalp diagnosis") and image data including an image of the scalp (e.g., image data of the entire head captured from the front), text data indicating that it is a facial skin diagnosis (e.g., "skin diagnosis") and image data including an image of the skin (e.g., image data of the entire head captured from the front), and text data indicating that it is a facial contour diagnosis (e.g., "contour diagnosis") and image data including an image of the contour (e.g., image data of the entire head captured from the front).

[0040] Other examples include text data indicating a hair diagnosis (e.g., "hair diagnosis") and image data including an image of hair (e.g., image data of the entire head taken from the front), text data indicating an eye diagnosis (e.g., "ophthalmological examination") and image data including an image of the eyes (e.g., image data of the upper half of the head taken from the front), text data indicating a nose or ear diagnosis (e.g., "ear, nose, and throat examination") and image data including an image of the nose or ear (e.g., image data of the entire head taken from the front), and text data indicating a stomach diagnosis (e.g., "stomach diagnosis") and image data including an image of the stomach (e.g., image data of the internal organs taken with an MRI).

[0041] The "diagnostic information" according to the present invention is not limited to text data, but may be still image data or video data. When still image data or video data is acquired as diagnostic information, the contents of the diagnosis can be determined by conventionally known image recognition, etc. Furthermore, the "image information" according to the present invention may be image data including a specific body part, and may be, for example, image data of a human's whole body, upper body, lower body, etc.

[0042] <Management terminal / function / image generation method> Next, the image generating means 12b will be described.

[0043] The image generation means 12b is a means for acquiring diagnostic information DI and image information GI, and generating diagnostic image information DGI by processing the image information GI based on the diagnostic information DI so that at least a portion of the image becomes invisible or difficult to see, and in this example, is composed of a program stored in the memory device 26 of the system terminal 12, the memory device 26, etc.

[0044] The image generating means 12b acquires the diagnostic information DI and the image information GI stored in the storage device 26, and performs processing on the image information GI based on the diagnostic information DI so that at least a part of the image becomes invisible or difficult to see.

[0045] Examples of processing performed by the image generating means 12b include processing to delete image information unnecessary for diagnosis and processing to add noise (for example, mosaic or blur) to image information unnecessary for diagnosis, and both are preferably irreversible processing. Note that "image information unnecessary for diagnosis" refers to image information that is information on images of parts other than the specific part that is the target of diagnosis, and whether or not the image information is unnecessary for diagnosis can be determined using conventionally known image recognition or the like.

[0046] For example, when the image generating means 12b acquires text data (e.g., "scalp diagnosis") indicating that the diagnosis is a scalp diagnosis and image data including an image of the scalp (e.g., image data of the entire head captured from the front) as the diagnostic information DI and image information GI, since parts other than the scalp are not necessary for a scalp diagnosis, it processes the image information to delete parts other than the scalp (e.g., the entire face excluding the top of the head and forehead), or processes the image information to add noise (e.g., mosaic or blur) to parts other than the scalp, and associates the processed image information with the user's ID and stores it in the storage device 26 as diagnostic image information DGI.

[0047] Furthermore, when the image generating means 12b acquires, as diagnostic information DI and image information GI, for example, text data indicating that the diagnosis is for facial skin (e.g., "skin diagnosis") and image data including an image of the skin (e.g., image data of the entire head captured from the front), the image generating means 12b processes the image to delete image information of parts other than the facial skin (hair, eyes, eyebrows, mouth, neck, etc.), or processes the image to add noise (e.g., mosaic or blur) to parts other than the facial skin, and associates the processed image information with the user's ID and stores it in the storage device 26 as diagnostic image information DGI, since parts other than the facial skin are not necessary for skin diagnosis.

[0048] Furthermore, when the image generating means 12b acquires, as the diagnostic information DI and image information GI, for example, text data indicating that the diagnosis is of the facial contour (e.g., "contour diagnosis") and image data including an image of the contour (e.g., image data of the entire head captured from the front), since parts other than the contour are not necessary for contour diagnosis, it processes the image information to delete parts other than the contour (hair, forehead, eyes, eyebrows, nose, mouth, etc.) or processes the image information to add noise (e.g., mosaic or blur) to parts other than the contour, and associates the processed image information with the user's ID and stores it in the storage device 26 as diagnostic image information DGI.

[0049] <Management terminal / function / imaging diagnostic method> Next, the imaging diagnostic means 12c will be described.

[0050] The image diagnosis means 12c is a means for making a diagnosis using the diagnostic image information DGI, and when the diagnosis is completed, classifying the diagnostic image information DGI into either the content of the diagnosis or a specific part and storing it in the image storage means 12d. In this example, it is composed of a program stored in the storage device 26 of the system terminal 12, the external storage 14, the storage device 26, etc.

[0051] The image diagnosis means 12c acquires the diagnostic information DI and diagnostic image information DGI stored in the storage device 26, performs image diagnosis using conventionally known techniques such as image recognition, transmits the results of the image diagnosis to the external terminal 16, and classifies the diagnostic image information DGI used for the diagnosis into either the content of the diagnosis or a specific area and stores it in the image storage means 12d (in this example, the external storage 14).

[0052] For example, when the image diagnosis means 12c acquires, as diagnostic information DI and diagnostic image information DGI, text data indicating that it is a scalp diagnosis (e.g., "scalp diagnosis") and image data with noise added to areas other than the scalp, it diagnoses the scalp using conventional image recognition technology such as scalp diagnosis AI, transmits the results of the diagnosis (e.g., thin hair, damaged hair, red scalp, etc.) to the external terminal 16, and classifies the diagnostic image information DGI used for the diagnosis into either the content of the diagnosis (e.g., scalp diagnosis) or a specific area (e.g., head) and stores it in the image storage means 12d (external storage 14).

[0053] Figure 3(a) is a diagram showing an example of classifying and storing diagnostic image information DGI according to the content of diagnosis, and Figure 3(b) is a diagram showing an example of classifying and storing diagnostic image information DGI according to specific parts.

[0054] For example, when diagnostic image information DGI corresponding to a scalp diagnosis is classified and stored according to the diagnostic content, as shown in Figure 3(a), diagnostic image information DGI (e.g., DGI2a) is stored in a memory area corresponding to the diagnostic content "scalp diagnosis" in association with the user's ID (e.g., C).

[0055] On the other hand, when diagnostic image information DGI corresponding to a scalp diagnosis is classified and stored according to a specific area, the diagnostic image information DGI (e.g., DGI5a) is stored in association with the user's ID (e.g., I) in a memory area corresponding to the specific area "head," as shown in Figure 3(b).

[0056] Furthermore, when the image diagnosis means 12c acquires, as the diagnostic information DI and diagnostic image information DGI, for example, text data indicating that the diagnosis is for facial skin (e.g., "skin diagnosis") and image data in which noise has been added to areas other than the facial skin, it diagnoses the skin using a conventionally known image recognition technology such as skin diagnosis AI, transmits the results of the diagnosis (e.g., rough skin, dry skin, etc.) to the external terminal 16, and classifies the diagnostic image information DGI used for the diagnosis into either the content of the diagnosis (e.g., skin diagnosis) or a specific area (e.g., face) and stores it in the image storage means 12d (external storage 14).

[0057] When diagnostic image information DGI corresponding to a skin diagnosis is classified and stored according to the diagnostic content, as shown in Figure 3(a), diagnostic image information DGI (e.g., DGI1a) is stored in a memory area corresponding to the diagnostic content "skin diagnosis" in association with the user's ID (e.g., A).

[0058] On the other hand, when diagnostic image information DGI corresponding to a skin diagnosis is classified and stored according to a specific area, the diagnostic image information DGI (e.g., DGI4a) is stored in association with the user's ID (e.g., G) in a memory area corresponding to the specific area "face," as shown in Figure 3(b).

[0059] Furthermore, when the image diagnosis means 12c acquires, as the diagnostic information DI and diagnostic image information DGI, image data from which, for example, text data indicating that the diagnosis is of the facial contour (e.g., "contour diagnosis") and image information of parts other than the contour have been deleted, it diagnoses the contour using a conventionally known image recognition technology such as a contour diagnosis AI, transmits the results of the diagnosis (e.g., round face, long face, etc.) to the external terminal 16, and classifies the diagnostic image information DGI used for the diagnosis into either the content of the diagnosis (e.g., contour diagnosis) or a specific part (e.g., face), and stores the same in the image storage means 12d (external storage 14).

[0060] When diagnostic image information DGI corresponding to a contour diagnosis is classified and stored according to the diagnostic content, the diagnostic image information DGI (e.g., DGI3a) is stored in association with the user's ID (e.g., E) in a memory area corresponding to the diagnostic content "contour diagnosis," as shown in Figure 3(a).

[0061] On the other hand, when diagnostic image information DGI corresponding to a contour diagnosis is classified and stored according to a specific part, the diagnostic image information DGI (e.g., DGI4b) is stored in a memory area corresponding to the specific part "face" in association with the user's ID (e.g., H), as shown in Figure 3(b).

[0062] In this example, the diagnostic image information DGI is classified into either the content of the diagnosis or the specific region and stored in the image storage means 12d, but it may also be classified into both the content of the diagnosis and the specific region and stored in the image storage means 12d. With this configuration, when searching the stored diagnostic image information DGI, various searches can be performed based on both the content of the diagnosis or the specific region, thereby improving the convenience for system users.

[0063] <Imaging Diagnostic System / Summary> As described above, the image diagnostic system according to this embodiment (for example, the image diagnostic system 10 shown in FIGS. 1 and 2) includes a diagnostic information acquisition unit (for example, the diagnostic information acquisition unit 12a shown in FIGS. 1 and 2) that acquires diagnostic information (for example, the diagnostic information DI shown in FIGS. 1 and 2) that is information on the contents of a diagnosis regarding a specific part of a human body, and image information (for example, the image information GI shown in FIGS. 1 and 2) that is information on an image including the specific part of the human body, and a diagnostic information acquisition unit (for example, the diagnostic information acquisition unit 12a shown in FIGS. 1 and 2) that acquires the diagnostic information and the image information and determines whether at least a part of the image is visible in the image information based on the diagnostic information. or image generation means (e.g., image generation means 12b shown in Figures 1 and 2) that generates diagnostic image information (e.g., diagnostic image information DGI shown in Figures 1 and 2) by processing the image to make it difficult to see, and image diagnosis means (e.g., image diagnosis means 12c shown in Figures 1 and 2) that performs the diagnosis using the diagnostic image information and, when the diagnosis is completed, classifies the diagnostic image information into either the content of the diagnosis or the specific part and stores the classified information in image storage means (e.g., image storage means 12d shown in Figures 1 and 2).

[0064] According to the image diagnostic system of this embodiment, diagnostic image information is generated by processing image information based on diagnostic information so that at least a portion of the image is invisible or difficult to see, thereby improving the reliability of diagnoses using images of specific human body parts and enhancing the confidentiality and safety of personal information. Furthermore, diagnostic image information can be stored by purpose (by diagnosis content or by body part), thereby improving security and search efficiency.

[0065] The image generating means may generate the diagnostic image information by either deleting image information unnecessary for the diagnosis or by adding noise to image information unnecessary for the diagnosis.

[0066] With this configuration, images that are not necessary for diagnosis can be made invisible or difficult to see, thereby further improving the confidentiality and safety of personal information.

[0067] The processing by the image generating means may be irreversible processing.

[0068] With this configuration, it becomes impossible to restore diagnostic image information to the image information before processing, and therefore the confidentiality and safety of personal information can be further improved.

[0069] The image diagnostic method according to this embodiment (for example, a method executed by the image diagnostic system 10 shown in FIGS. 1 and 2) includes a diagnostic information acquisition step (for example, processing executed by the diagnostic information acquisition means 12a shown in FIGS. 1 and 2) of acquiring diagnostic information (for example, diagnostic information DI shown in FIGS. 1 and 2) which is information on the contents of a diagnosis relating to a specific part of a human body, and image information (for example, image information GI shown in FIGS. 1 and 2) which is information on an image including the specific part of the human body; and a diagnostic information acquisition step of acquiring the diagnostic information and the image information and determining whether at least a part of the image is visible or invisible for the image information based on the diagnostic information. and an image diagnosis step (for example, processing executed by the image generation means 12b shown in FIGS. 1 and 2) of performing the diagnosis using the diagnostic image information and, when the diagnosis is completed, classifying the diagnostic image information into either the content of the diagnosis or the specific part and storing the classified diagnostic image information in an image storage means (for example, processing executed by the image diagnosis means 12c shown in FIGS. 1 and 2).

[0070] According to the image diagnostic method of this embodiment, diagnostic image information is generated by processing image information based on diagnostic information so that at least a portion of the image is invisible or difficult to see, which not only improves the reliability of diagnosis using images of specific human body parts, but also improves the confidentiality and safety of personal information. Furthermore, diagnostic image information can be stored by purpose (by diagnosis content or by body part), which improves security and search efficiency.

[0071] Furthermore, the image diagnosis program according to this embodiment (for example, a program executed by the image diagnosis system 10 shown in FIGS. 1 and 2) includes a computer, a diagnostic information acquisition means (for example, diagnostic information acquisition means 12a shown in FIGS. 1 and 2) that acquires diagnostic information (for example, diagnostic information DI shown in FIGS. 1 and 2) that is information on the contents of a diagnosis regarding a specific part of a human body, and image information (for example, image information GI shown in FIGS. 1 and 2) that is information on an image including the specific part of the human body, and a diagnostic information acquisition means (for example, diagnostic information acquisition means 12b shown in FIGS. 1 and 2) that acquires the diagnostic information and the image information and, based on the diagnostic information, determines whether at least a part of the image is different from the image information. This is an image diagnostic program characterized by having the program function as an image generation means (e.g., image generation means 12b shown in Figures 1 and 2) that generates diagnostic image information (e.g., diagnostic image information DGI shown in Figures 1 and 2) by processing the image to make it invisible or difficult to recognize, and an image diagnostic means (e.g., image diagnostic means 12c shown in Figures 1 and 2) that performs the diagnosis using the diagnostic image information and, when the diagnosis is completed, classifies the diagnostic image information into either the content of the diagnosis or the specific part and stores the classified information in an image storage means (e.g., image storage means 12d shown in Figures 1 and 2).

[0072] According to the image diagnosis program of this embodiment, diagnostic image information is generated by processing image information based on diagnostic information so that at least a part of the image becomes invisible or difficult to see, thereby improving the reliability of diagnoses using images of specific human body parts and enhancing the confidentiality and safety of personal information. Furthermore, diagnostic image information can be stored by purpose (by diagnosis content or by body part), thereby improving security and search efficiency.

[0073] Furthermore, the image diagnosis generation AI according to this embodiment (for example, processing executed by the image generation means 12b shown in Figures 1 and 2) functions to take as input diagnostic information (for example, diagnostic information DI shown in Figures 1 and 2), which is information on the contents of a diagnosis relating to a specific part of a human body, and image information (for example, image information GI shown in Figures 1 and 2), which is information on an image including the specific part of the human body, and to process the image information based on the diagnostic information so that at least a part of the image becomes invisible or difficult to see, thereby generating diagnostic image information (for example, diagnostic image information DGI shown in Figures 1 and 2).

[0074] The image diagnosis generation AI provided in the image diagnosis system of this embodiment generates diagnostic image information by processing the image information based on diagnostic information so that at least a portion of the image becomes invisible or difficult to see, thereby increasing the reliability of diagnoses using images of specific human parts and improving the confidentiality and security of personal information.

[0075] The image diagnosis system, image diagnosis method, image diagnosis program, and image diagnosis generation AI according to the present invention are not limited to the above-described embodiments, and various modifications can be made within the scope of the gist of the present invention.

[0076] Therefore, for example, in the above embodiment, an example was shown in which the image generation means 12b was configured as a program (generation AI module) provided in the image diagnostic system 10, but the corresponding program may also be implemented in a separate server (generation AI server), and this generation AI server and the system terminal 12 may be connected to each other via a network NW so that they can communicate with each other, thereby configuring the image diagnostic system 10. [Industrial Applicability]

[0077] The image diagnosis system, image diagnosis method, image diagnosis program, and image diagnosis generation AI according to the present invention can be widely applied to various fields as a cloud service (SaaS). [Explanation of symbols]

[0078] 10 Diagnostic Imaging Systems 12 System Terminal 12a Diagnostic information acquisition means 12b Image generation means 12c Diagnostic Imaging Methods 12d Image storage means 14 External Storage 16 External Terminal 21 CPU 22 ROM 23 RAM 24 Recording media 25 External Storage Drive 26 Storage device 27 Input Devices 28 Display device 29 Communications Department NW Network DI Diagnostic Information GI Image Information DGI Diagnostic Imaging Information

Claims

1. a diagnostic information acquiring means for acquiring diagnostic information, which is information on diagnostic content relating to a specific part of a human body, and image information, which is information on an image including the specific part of the human body; an image generating means for acquiring the diagnostic information and the image information, and generating diagnostic image information by processing the image information based on the diagnostic information so that at least a part of the image becomes invisible or difficult to see; and an image diagnosis means for performing the diagnosis using the diagnostic image information, and when the diagnosis is completed, classifying the diagnostic image information into either the content of the diagnosis or the specific region and storing the classified information in an image storage means. An imaging diagnostic system characterized by:

2. 2. The diagnostic imaging system according to claim 1, the image generating means generates the diagnostic image information by performing a process of either deleting image information unnecessary for the diagnosis or adding noise to the image information unnecessary for the diagnosis. An imaging diagnostic system characterized by:

3. 3. The diagnostic imaging system according to claim 2, The diagnosis includes at least a scalp diagnosis, a facial skin diagnosis, and a contour diagnosis, The processing by the image generating means is irreversible processing. An imaging diagnostic system characterized by:

4. A diagnostic information acquisition step in which a computer acquires diagnostic information, which is information on diagnostic content relating to a specific part of a human body, and image information, which is information on an image including the specific part of the human body; an image generating step in which the computer acquires the diagnostic information and the image information, and processes the image information based on the diagnostic information so that at least a part of the image becomes invisible or difficult to see, thereby generating diagnostic image information; the computer performs the diagnosis using the diagnostic image information, and when the diagnosis is completed, classifies the diagnostic image information into either the content of the diagnosis or the specific region, and stores the classified information in an image storage means. An imaging diagnostic method characterized by:

5. The diagnostic imaging method according to claim 4, the image generating step generates the diagnostic image information by performing a process of deleting image information unnecessary for the diagnosis or a process of adding noise to the image information unnecessary for the diagnosis. An imaging diagnostic method characterized by:

6. Computer, a diagnostic information acquiring means for acquiring diagnostic information, which is information on diagnostic content relating to a specific part of a human body, and image information, which is information on an image including the specific part of the human body; an image generating means for acquiring the diagnostic information and the image information, and generating diagnostic image information by processing the image information based on the diagnostic information so that at least a part of the image becomes invisible or difficult to see; the diagnostic image information is used to make the diagnosis, and when the diagnosis is completed, the diagnostic image information is classified into the content of the diagnosis or the specific region and stored in an image storage means; An image diagnosis program characterized by:

7. 7. The image diagnosis program according to claim 6, the image generating means generates the diagnostic image information by performing a process of either deleting image information unnecessary for the diagnosis or adding noise to the image information unnecessary for the diagnosis. An image diagnosis program characterized by:

Images