Medical image transmission method and system based on artificial intelligence

Abstract

The invention discloses a medical image transmission method and system based on artificial intelligence, and relates to the technical field of intelligent medical treatment.The method comprises the steps that a target medical image is determined, and the target medical image is coded according to a medical database to obtain a target medical image transmission code; a transmission port is determined, the transmission port comprises a sending end and a receiving end, and the sending end transmits the target medical image transmission code to the receiving end; and decoding the target medical image transmission code through a receiving end to obtain a target medical image. In the transmission process, the first code and the second code are carried in the form of the mapping plate for transmission, so that the transmission efficiency and the image quality recovered after repeated transmission and long-distance transmission are ensured, and a relatively good image code transmission effect is achieved; the positioning relation between the mapping plate and the target medical image can be better limited, the target medical image can be conveniently and accurately recovered subsequently, and the transmission quality of the target medical image is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and in particular to a medical image transmission method and system based on artificial intelligence. Background Art

[0002] With the continuous advancement of medical technology, medical imaging equipment such as X-rays, CT scans, MRI scans, etc. are increasingly used in clinical diagnosis, and the amount of image data generated has also increased sharply. These image data not only contain a large amount of patient information, but also serve as an important basis for doctors to diagnose diseases and formulate treatment plans. In the process of medical treatment, it is inevitable to transmit images. Although the current image transmission can be transmitted efficiently through image coding, it is difficult to ensure the image transmission quality during the transmission process. In addition, it is difficult to accurately restore the image, which will result in the inability to obtain comprehensive information of medical images. Summary of the invention

[0003] The purpose of the present invention is to provide a medical image transmission method and system based on artificial intelligence to solve the shortcomings of the background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a medical image transmission method based on artificial intelligence, comprising the following steps:

[0005] Determine a target medical image, and encode the target medical image according to a medical database to obtain a target medical image transmission code;

[0006] Determine a transmission port, wherein the transmission port includes a transmitting end and a receiving end, and the transmitting end transmits the target medical image transmission code to the receiving end;

[0007] The target medical image is obtained by decoding the target medical image transmission code at the receiving end.

[0008] In a preferred embodiment, the step of determining a target medical image and encoding the target medical image according to a medical database to obtain a target medical image transmission code comprises:

[0009] Determine the medical image to be transmitted as the target medical image, and set a mapping plate corresponding to the target medical image;

[0010] A plurality of azimuth ranges are set in the mapping plate, and the target image is encoded in the plurality of azimuth ranges to obtain the target medical image transmission code.

[0011] In a preferred embodiment, the step of determining the medical image to be transmitted as the target medical image and setting a mapping plate corresponding to the target medical image includes:

[0012] Positioning the target medical image, and virtually configuring a spherical layout outside the positioned target medical image;

[0013] The midpoint of the target medical image is used as the center of the spherical layout, and the spherical layout does not touch the edge of the target medical image;

[0014] Marking a plurality of first positioning points on the target medical image, setting a plurality of second positioning points on the spherical map, making one-to-one correspondence between the first positioning points and the second positioning points and connecting them to obtain a plurality of positioning lines;

[0015] Determine position information between multiple positioning lines through a spherical map, wherein the position information includes angle information and distance information;

[0016] The spherical plate after positioning with the target medical image is used as the mapping plate.

[0017] In a preferred embodiment, the step of setting a plurality of azimuth ranges in the mapping plate and encoding the target image in the plurality of azimuth ranges to obtain the target medical image transmission code comprises:

[0018] Mapping the target medical image corresponding to the mapping plate at multiple angles to obtain multiple mapping ranges, and dividing the mapping ranges in the mapping plate into multiple orientation ranges;

[0019] Acquire mapping information of the target medical image in multiple azimuth ranges, wherein the mapping information includes image information and the shape and size of the azimuth range;

[0020] Extracting the shape and size of the orientation range on the mapping plate and encoding them to obtain a first code, encoding the image information on the mapping plate and recording the mapping model corresponding to the target medical image orientation on the mapping plate to obtain a second code;

[0021] The first code and the second code are bound to the azimuth range on the corresponding mapping plate as the target medical image transmission code.

[0022] In a preferred embodiment, the steps of extracting the shape and size of the orientation range on the mapping plate and encoding them to obtain a first code, encoding the image information on the mapping plate and recording the corresponding mapping model to obtain a second code include:

[0023] The first code is obtained by matching the code corresponding to the shape and size of the orientation range on the mapping plate with the corresponding database;

[0024] The mapping space of the target medical image toward the mapping plate is obtained corresponding to multiple angles respectively, and the mapping space is framed to obtain a mapping model;

[0025] The corresponding database matches the encoding of the image information on the mapping plate and binds the corresponding mapping model as the second encoding.

[0026] In a preferred embodiment, the step of transmitting the target medical image transmission code to the receiving end by the transmitting end includes:

[0027] Determine the sending end and the receiving end as transmission ports;

[0028] The mapping plate carrying the target medical image transmission code is transmitted to the receiving end through the sending end.

[0029] In a preferred embodiment, the step of decoding the target medical image transmission code by the receiving end to obtain the target medical image comprises:

[0030] Based on the database, reverse decoding is performed on the target medical image transmission code to obtain the shape and size of the orientation range of the corresponding mapping plate and the image information on the mapping plate;

[0031] Reconstructing the position of the target medical image inside the mapping plate according to the mapping model and the shape and size of the orientation range of the mapping plate to obtain a basic image;

[0032] The image information on the mapping plate is filled and restored to the base image to obtain the target medical image.

[0033] The present invention also provides a medical image transmission system based on artificial intelligence, comprising:

[0034] A determination module, used to determine a target medical image, and encode the target medical image according to a medical database to obtain a target medical image transmission code;

[0035] A transmission module, connected to the determination module, for determining a transmission port, wherein the transmission port includes a transmitting end and a receiving end, and the transmitting end transmits the target medical image transmission code to the receiving end;

[0036] The decoding module is connected to the transmission module and is used to decode the target medical image transmission code through the receiving end to obtain the target medical image.

[0037] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0038] 1. The present invention records the size of the azimuth range in the form of code, and the mapping model is the range space involved in the mapping of the target medical image on the mapping plate. Then, the first code and the second code corresponding to the azimuth range on the mapping plate are bound as the target medical image transmission code. During the transmission process, the first code and the second code are transmitted in the form of the mapping plate, so as to ensure the transmission efficiency and the image quality restored after repeated transmission and long-distance transmission, and have a good image coding transmission effect;

[0039] 2. The present invention obtains a first code by matching the shape and size codes of the orientation range on the mapping plate with the corresponding database, respectively obtains the mapping space of the target medical image toward the mapping plate from multiple angles, and constructs a framework for the mapping space to obtain a mapping model, which can better define the positioning relationship between the mapping plate and the target medical image, facilitate the subsequent accurate restoration of the target medical image, and greatly improve the quality of transmission of the target medical image. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0041] Figure 1 The figure is a flow chart of the method of the present invention.

[0042] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Example 1, please refer to Figure 1 As shown, the medical image transmission method based on artificial intelligence described in this embodiment includes the following steps:

[0045] S1. Determine a target medical image, and encode the target medical image according to a medical database to obtain a target medical image transmission code;

[0046] S2. Determine a transmission port, wherein the transmission port includes a transmitting end and a receiving end, and the transmitting end transmits the target medical image transmission code to the receiving end;

[0047] S3, decoding the target medical image transmission code at the receiving end to obtain the target medical image;

[0048] As described in the above steps S1-S3, with the continuous advancement of medical technology, medical imaging equipment such as X-rays, CT scans, MRI scans, etc. are increasingly widely used in clinical diagnosis, and the amount of image data generated has also increased sharply. These image data not only contain a large amount of patient information, but are also an important basis for doctors to diagnose diseases and formulate treatment plans. In the process of medical treatment, it is inevitable to transmit images. However, it is difficult to ensure the quality of image transmission during the transmission process, which will result in the inability to obtain comprehensive information of medical images. In this application, the size of the azimuth range is recorded in the form of coding, and the mapping model is the range space involved in the mapping of the target medical image on the mapping plate. Then, the first code and the second code are bound to the azimuth range on the corresponding mapping plate as the target medical image transmission code. During the transmission process, the first code and the second code are carried in the form of the mapping plate for transmission, which ensures the efficiency of transmission and the image quality restored after repeated transmission and long-distance transmission, and has a good image coding transmission effect.

[0049] In one embodiment, the step S1 of determining a target medical image and encoding the target medical image according to a medical database to obtain a target medical image transmission code includes:

[0050] S11, determining a medical image to be transmitted as a target medical image, and setting a mapping plate corresponding to the target medical image;

[0051] S12, setting a plurality of azimuth ranges in the mapping plate, and encoding the corresponding target image in the plurality of azimuth ranges to obtain a target medical image transmission code;

[0052] As described in the above steps S11 and S12, a medical image to be transmitted is obtained as a target medical image to be processed, and then the target medical image is positioned and processed, and then a mapping plate is set corresponding to the positioned target medical image, and partitions are set on the mapping plate to obtain multiple azimuth ranges, and the target image is encoded in the multiple azimuth ranges to obtain a target medical image transmission code, where the target medical image transmission code is an image information code set corresponding to the target medical image, and one code corresponding to the target medical image represents one image information, which is convenient for the subsequent transmission of the target medical image and the recovery after reception, has a good transmission effect, can compress and transmit the target medical image, and improves the transmission efficiency;

[0053] In one embodiment, the step S11 of determining the medical image to be transmitted as the target medical image and setting a mapping plate corresponding to the target medical image includes:

[0054] S11, positioning the target medical image, and virtually configuring a spherical layout outside the positioned target medical image;

[0055] S12, taking the midpoint of the target medical image as the center of the spherical layout, and the spherical layout does not touch the edge of the target medical image;

[0056] S13, marking a plurality of first positioning points on the target medical image, setting a plurality of second positioning points on the spherical map, making one-to-one correspondence between the first positioning points and the second positioning points and connecting them to obtain a plurality of positioning lines;

[0057] S14, determining position information between multiple positioning lines through a spherical map, wherein the position information includes angle information and distance information;

[0058] S15. Use the spherical map after positioning with the target medical image as a mapping map.

[0059] As described in the above steps S11-S15, in order to encode and correspond the target medical image, it is necessary to virtually position the target medical image in space. The target medical image here has a standardized preset size, and the standardized preset behavior of the size is to enlarge or reduce the size of the original target medical image. A realistic spherical model can be created as a spherical map using three-dimensional modeling software (such as Cinema 4D, Maya, 3ds Max, etc.); a spherical map is virtually configured outside the target medical image after positioning. The spherical map is a virtual sphere and is included outside the target medical image, and the spherical map does not touch the edge of the target medical image. The target medical image is suspended inside the spherical map, and the midpoint of the target medical image is used as the midpoint of the spherical map. In order to ensure that there is no deflection between the spherical map and the target medical image, it is necessary to calibrate a plurality of first positioning points on the target medical image, and also set a plurality of second positioning points on the spherical map. The number of the first positioning points is the same as that of the second positioning points, and the first positioning points are arbitrarily matched one by one with the second positioning points. After matching, the first positioning point and the second positioning point are connected to obtain multiple positioning lines, and the angle information and distance information between the multiple positioning lines are used as position information. After that, the spherical map and the target medical image can be positioned according to the position information to avoid position deflection between the spherical map and the target medical image. Finally, the spherical map after positioning with the target medical image is used as a mapping map. The purpose here is to establish and determine the positional relationship between the target medical image and the spherical map, ensure the stability of the position and the stability of subsequent encoding and transmission, facilitate the subsequent image restoration of the compressed encoded target medical image, and improve the image transmission while also ensuring the efficiency of image transmission.

[0060] In one embodiment, the step S12 of setting a plurality of azimuth ranges in the mapping plate and encoding the corresponding target image in the plurality of azimuth ranges to obtain the target medical image transmission code comprises:

[0061] S121, mapping the target medical image corresponding to the mapping plate at multiple angles to obtain multiple mapping ranges, and dividing the mapping ranges in the mapping plate into multiple orientation ranges;

[0062] S122, obtaining mapping information of the target medical image in multiple azimuth ranges, wherein the mapping information includes image information and the shape and size of the azimuth range;

[0063] S123, extracting the shape and size of the orientation range on the mapping plate and encoding them to obtain a first code, encoding the image information on the mapping plate and recording the mapping model corresponding to the target medical image orientation on the mapping plate to obtain a second code;

[0064] S124. Bind the first code and the second code corresponding to the azimuth range on the mapping plate as the target medical image transmission code.

[0065] As described in the above steps S121-S124, the information in the target medical image is recorded and used for transmission through a mapping plate, which can improve the transmission efficiency. First, the target medical image is mapped to the mapping plate at multiple angles to obtain multiple mapping ranges, and the mapping ranges are divided into multiple azimuth ranges in the mapping plate. The multi-angle mapping must include a mapping angle that makes the target medical image face the mapping plate, which can display the target medical image more comprehensively. The multiple azimuth ranges do not overlap, and then the mapped multiple mapping ranges are divided on the mapping plate to obtain azimuth ranges. The image information mapped by the target medical image and the shape and size of the azimuth range are recorded as mapping information through the mapped azimuth range. The mapping information is stored through the mapping plate, and the shape and size of the azimuth range are extracted and encoded on the mapping plate to obtain a first code; the image information on the mapping plate is encoded and the target medical image is recorded toward the mapping model corresponding to the mapping plate to obtain a second code. The coding here is to encode the corresponding image information, and the image information here includes various image information such as color, brightness, contrast and saturation. The corresponding coding is preset for each of the multiple image information, and the coding and the corresponding image information are in a one-to-one relationship. The coding here is widely preset for big data based on the image information to obtain a database of coding corresponding to the image information. After that, after obtaining the mapped image information, the corresponding coding is directly matched in the database to complete the coding operation of the target medical image, and the size of the azimuth range is recorded in the form of coding. The mapping model here is the range space involved in the mapping of the target medical image on the mapping plate, and then the first code and the second code are bound to the azimuth range on the mapping plate as the target medical image transmission code. During the transmission process, the first code and the second code are carried in the form of the mapping plate for transmission to ensure the transmission efficiency and the image quality restored after repeated transmission and long-distance transmission, and has a good image coding transmission effect.

[0066] In one embodiment, the step S123 of extracting the shape and size of the orientation range on the mapping plate and encoding them to obtain a first code, encoding the image information on the mapping plate and recording the corresponding mapping model to obtain a second code includes:

[0067] S1231, matching the code corresponding to the shape and size of the orientation range on the mapping plate with the database to obtain a first code;

[0068] S1232, respectively obtaining the mapping space of the target medical image towards the mapping plate corresponding to multiple angles, and constructing a framework for the mapping space to obtain a mapping model;

[0069] S1233, matching the encoding of the image information on the mapping plate with the corresponding database and binding the corresponding mapping model as the second encoding;

[0070] As described in the above steps S1231-S1233, the database is widely preset for big data corresponding to the image information and the shape and size of the orientation range on the mapping plate. Each data corresponds to a unique code. After obtaining the shape and size of the orientation range on the mapping plate and the image information on the mapping plate, the corresponding code can be directly matched in the database. Therefore, the first code is obtained by matching the code corresponding to the shape and size of the orientation range on the mapping plate with the corresponding database, and the mapping space corresponding to the multi-angle acquisition of the target medical image toward the mapping plate is framed to obtain a mapping model. For example, a square image is mapped frontally on the spherical surface below, then the mapping space is a space with a square at the upper end and a spherical arc at the bottom. This space is constructed as a mapping model. A mapping space obliquely mapped on the spherical surface is a space with a trapezoidal body and a spherical arc on one side, and then constructed as a mapping model. What is constructed here is the edge line, and a model framework is obtained as a mapping model, which can better define the positioning relationship between the mapping plate and the target medical image, facilitate the subsequent recovery of the target medical image, and greatly improve the quality of transmission of the target medical image.

[0071] In one embodiment, the step S2 of the transmitting end transmitting the target medical image transmission code to the receiving end includes:

[0072] S21, determining a sending end and a receiving end as transmission ports;

[0073] S22, transmitting the mapping plate carrying the target medical image transmission code to the receiving end through the sending end;

[0074] As described in the above steps S21 and S22, the sending end and the receiving end are determined as transmission ports. The sending end and the transmitting end here are ports for transmitting information, and information can be transmitted in the reverse direction without limiting a certain port to be the sending end or the transmitting end. The sending end and the transmitting end are used as examples here. The target medical image transmission code represents the shape and size of the orientation range on the mapping plate and the image information on the mapping plate. The codes are marked and bound to the mapping plate, and the mapping model is also marked inside the mapping plate. The target medical image in the middle does not need to be transmitted, and can be directly transmitted through the mapping plate carrying the target medical image transmission code, and then can be transmitted to the receiving end;

[0075] In one embodiment, the step S3 of decoding the target medical image transmission code by the receiving end to obtain the target medical image includes:

[0076] S31, reversely decoding the target medical image transmission code based on the database to obtain the shape and size of the orientation range of the corresponding mapping plate and the image information on the mapping plate;

[0077] S32, reconstructing the position of the target medical image inside the mapping plate according to the mapping model and the shape and size of the orientation range of the mapping plate to obtain a basic image;

[0078] S33, filling and restoring the basic image with the image information on the mapping plate to obtain a target medical image;

[0079] As described in the above steps S31-S33, in order to speed up the transmission, the image information is replaced by encoding. After transmission to the receiving end, the encoding needs to be decoded, and then the target medical image transmission encoding is reversely decoded based on the database to obtain the shape and size of the orientation range on the corresponding mapping plate and the image information on the mapping plate. The position of the target medical image inside the mapping plate is reconstructed according to the mapping model and the shape and size of the orientation range on the mapping plate to obtain the basic image. The mapping model here is fixed, one end of the mapping model is connected to the corresponding orientation range, and the other end is connected to the target medical image. Therefore, when there is no target medical image, the mapping model and the shape and size of the orientation range on the mapping plate can be used to restore the position of the target medical image inside the mapping plate as the basic image. Here is just a blank target medical image. Then, the basic image is filled and restored by the image information on the mapping plate to obtain the target medical image, which can complete the restoration of the target medical image.

[0080] Example 2, please refer to Figure 2 As shown, the medical image transmission system based on artificial intelligence described in this embodiment includes:

[0081] A determination module, used to determine a target medical image, and encode the target medical image according to a medical database to obtain a target medical image transmission code;

[0082] A transmission module, connected to the determination module, for determining a transmission port, wherein the transmission port includes a transmitting end and a receiving end, and the transmitting end transmits the target medical image transmission code to the receiving end;

[0083] A decoding module, connected to the transmission module, is used to decode the target medical image transmission code through the receiving end to obtain the target medical image;

[0084] Furthermore, the size of the azimuth range is recorded in the form of code, and the mapping model is the range space involved in the mapping of the target medical image on the mapping plate. Then, the first code and the second code corresponding to the azimuth range on the mapping plate are bound as the target medical image transmission code. During the transmission process, the first code and the second code are transmitted in the form of a mapping plate to ensure the efficiency of transmission and the quality of the image restored after repeated transmission and long-distance transmission, and it has a good image coding transmission effect; the code corresponding to the shape and size of the azimuth range on the mapping plate is matched with the corresponding database to obtain the first code, and the mapping space of the target medical image toward the mapping plate is obtained from multiple angles respectively. The mapping space is framed to obtain the mapping model, which can better define the positioning relationship between the mapping plate and the target medical image, facilitate the subsequent accurate restoration of the target medical image, and greatly improve the quality of the target medical image transmission.

[0085] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A medical image transmission method based on artificial intelligence, characterized in that: The following steps are involved: Determine a target medical image, and encode the target medical image according to a medical database to obtain a target medical image transmission code; Determine a transmission port, wherein the transmission port includes a transmitting end and a receiving end, and the transmitting end transmits the target medical image transmission code to the receiving end; The target medical image is obtained by decoding the target medical image transmission code at the receiving end.

2. The medical image transmission method based on artificial intelligence according to claim 1, characterized in that: The step of determining a target medical image and encoding the target medical image according to a medical database to obtain a target medical image transmission code comprises: Determine the medical image to be transmitted as the target medical image, and set a mapping plate corresponding to the target medical image; A plurality of azimuth ranges are set in the mapping plate, and the target image is encoded in the plurality of azimuth ranges to obtain the target medical image transmission code.

3. The medical image transmission method based on artificial intelligence according to claim 2, characterized in that: The step of determining the medical image to be transmitted as the target medical image and setting a mapping plate corresponding to the target medical image includes: Positioning the target medical image, and virtually configuring a spherical layout outside the positioned target medical image; The midpoint of the target medical image is used as the center of the spherical layout, and the spherical layout does not touch the edge of the target medical image; Marking a plurality of first positioning points on the target medical image, setting a plurality of second positioning points on the spherical map, making one-to-one correspondence between the first positioning points and the second positioning points and connecting them to obtain a plurality of positioning lines; Determine position information between multiple positioning lines through a spherical map, wherein the position information includes angle information and distance information; The spherical plate after positioning with the target medical image is used as the mapping plate.

4. The medical image transmission method based on artificial intelligence according to claim 3, characterized in that: The step of setting a plurality of azimuth ranges in the mapping plate and encoding the target image in the plurality of azimuth ranges to obtain the target medical image transmission code comprises: Mapping the target medical image corresponding to the mapping plate at multiple angles to obtain multiple mapping ranges, and dividing the mapping ranges in the mapping plate into multiple orientation ranges; Acquire mapping information of the target medical image in multiple azimuth ranges, wherein the mapping information includes image information and the shape and size of the azimuth range; Extracting the shape and size of the orientation range on the mapping plate and encoding them to obtain a first code, encoding the image information on the mapping plate and recording the mapping model corresponding to the target medical image orientation on the mapping plate to obtain a second code; The first code and the second code are bound to the azimuth range on the corresponding mapping plate as the target medical image transmission code.

5. The medical image transmission method based on artificial intelligence according to claim 4, characterized in that: The steps of extracting the shape and size of the orientation range on the mapping plate and encoding them to obtain a first code, encoding the image information on the mapping plate and recording the corresponding mapping model to obtain a second code include: The first code is obtained by matching the code corresponding to the shape and size of the orientation range on the mapping plate with the corresponding database; The mapping space of the target medical image toward the mapping plate is obtained corresponding to multiple angles respectively, and the mapping space is framed to obtain a mapping model; The corresponding database matches the encoding of the image information on the mapping plate and binds the corresponding mapping model as the second encoding.

6. The medical image transmission method based on artificial intelligence according to claim 1, characterized in that: The step of transmitting the target medical image transmission code to the receiving end by the transmitting end includes: Determine the sending end and the receiving end as the transmission port; The mapping plate carrying the target medical image transmission code is transmitted to the receiving end through the sending end.

7. The medical image transmission method based on artificial intelligence according to claim 1, characterized in that: The step of decoding the target medical image transmission code by the receiving end to obtain the target medical image comprises: Based on the database, reverse decoding is performed on the target medical image transmission code to obtain the shape and size of the orientation range of the corresponding mapping plate and the image information on the mapping plate; Reconstructing the position of the target medical image inside the mapping plate according to the mapping model and the shape and size of the orientation range of the mapping plate to obtain a basic image; The image information on the mapping plate is filled and restored to the base image to obtain the target medical image.

8. An artificial intelligence-based medical image transmission system, used to implement an artificial intelligence-based medical image transmission method according to any one of claims 1 to 7, characterized in that: include: A determination module, used to determine a target medical image, and encode the target medical image according to a medical database to obtain a target medical image transmission code; A transmission module, connected to the determination module, for determining a transmission port, wherein the transmission port includes a transmitting end and a receiving end, and the transmitting end transmits the target medical image transmission code to the receiving end; The decoding module is connected to the transmission module and is used to decode the target medical image transmission code through the receiving end to obtain the target medical image.

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