Medical graphic image AI artificial intelligence modeling and recognition device

Abstract

The utility model relates to the technical field of pattern recognition, and particularly discloses a medical graphic image AI artificial intelligence modeling and recognition device which comprises a machine body. The recognition mechanism is mounted at the top end of the machine body; through the modeling chip, the recognition module, the mounting seat and the adjusting mechanism, when a medical graph is recognized, firstly, the graph is placed outside a connecting plate and is clamped and fixed by a clamping plate, and then a threaded rod is telescopically adjusted and moved in a limiting plate through rotation of an adjusting handle, so that the recognition of the medical graph is realized, and the recognition accuracy of the medical graph is improved. According to the invention, a connecting plate is arranged on the connecting plate, so that a graph clamped on the connecting plate is straightened, the graph can be ensured to be in a more accurate state during identification, and finally, an identification module and a modeling chip are arranged to carry out AI modeling analysis on the identified graph image, so that the identification accuracy is improved. In this way, the medical graphic image can be analyzed and processed more deeply through the artificial intelligence technology.

Description

Technical Field

[0001] The utility model belongs to the technical field of graphic recognition, and in particular relates to a medical graphic image AI artificial intelligence modeling and recognition device. Background Art

[0002] Medical image recognition refers to the process of analyzing and identifying medical image data using computer vision and artificial intelligence technologies. The development of medical image recognition technology is of great significance to the medical field. It helps to improve the level of medical services and improve patients' diagnosis and treatment experience. It also provides more possibilities for medical research.

[0003] When existing medical graphic images are recognized, errors are often easily generated during recognition because the graphics cannot be flattened, thereby affecting the accuracy of recognition. After recognition, accurate recognition and analysis cannot be performed based on AI artificial intelligence modeling, which greatly reduces the functionality of the medical graphic image recognition device. Utility Model Content

[0004] The purpose of the utility model is to provide a medical image AI artificial intelligence modeling and recognition device to solve the problems raised in the above-mentioned background technology.

[0005] In order to achieve the above purpose, the utility model provides the following technical solutions:

[0006] A medical image AI artificial intelligence modeling and recognition device, comprising:

[0007] Body;

[0008] An identification mechanism, the identification mechanism being mounted on the top of the body;

[0009] An identification camera, wherein the identification camera is arranged at the bottom end of the identification mechanism;

[0010] A clamping mechanism, wherein the clamping mechanism is installed outside the machine body;

[0011] An adjusting mechanism is arranged inside the clamping mechanism, and the adjusting mechanism includes a limit plate, a threaded rod and an adjusting handle. The limit plate is fixedly connected to the inner wall of the clamping mechanism, a threaded rod is inserted into the limit plate, an adjusting handle is fixedly connected to the outside of one side of the threaded rod, a telescopic spring is fixedly connected to the outside of the telescopic spring, and a connecting seat is installed on the outside of the telescopic spring.

[0012] Preferably, the threaded rod is threadably connected to the interior of the limiting plate, and the threaded rod is elastically telescopically connected to the telescopic spring.

[0013] Preferably, a plurality of the adjustment mechanisms are provided inside the clamping mechanism, and the adjustment handle is welded to the outer side wall of the threaded rod.

[0014] Preferably, the identification mechanism includes a modeling chip, an identification module and a feature extraction module. The modeling chip is arranged inside the body, the identification module is arranged on the top of the modeling chip, the feature extraction module is installed outside the modeling chip, and a display screen is fixedly connected to the outside of one side of the modeling chip.

[0015] Preferably, the display screen is fixedly mounted on the outer side wall of the modeling chip by means of screws, and a transparent screen is arranged outside the telescopic spring.

[0016] Preferably, the clamping mechanism comprises a mounting seat, a connecting plate and a clamping plate, the mounting seat is fixedly mounted on the outside of the machine body, a connecting plate is arranged inside the mounting seat, and a plurality of clamping plates are arranged on the outer side wall of the connecting plate.

[0017] Preferably, the connecting plate is fixedly connected to the outside of the connecting seat, and two connecting plates are provided.

[0018] Compared with the prior art, the beneficial effects of the utility model are:

[0019] The utility model provides a modeling chip, a recognition module, a mounting seat and an adjustment mechanism, so that when a medical graphic is recognized, first, the graphic is placed on the outside of the connecting plate and is clamped and fixed by a clamping plate. Subsequently, the threaded rod is adjusted to move telescopically inside the limiting plate by rotating the adjustment handle, so that the graphic clamped on the connecting plate is straightened, which ensures that the graphic is in a more accurate state during recognition. Finally, through the setting of the recognition module and the modeling chip, AI modeling analysis is performed on the recognized graphic image, so that artificial intelligence technology can be used to perform more in-depth analysis and processing of medical graphic images. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a three-dimensional structural schematic diagram of the utility model;

[0021] Figure 2 For this utility model Figure 1 The overall structural diagram of the identification mechanism;

[0022] Figure 3 For this utility model Figure 1 The overall structural diagram of the clamping mechanism;

[0023] Figure 4 For this utility model Figure 3 A schematic diagram of the enlarged structure at point A in the middle.

[0024] In the figure: 1. body; 2. identification mechanism; 201. modeling chip; 202. identification module; 203. feature extraction module; 204. display screen; 3. identification camera; 4. clamping mechanism; 401. mounting seat; 402. connecting plate; 403. clamping plate; 5. adjustment mechanism; 501. limit plate; 502. threaded rod; 503. adjustment handle; 504. telescopic spring; 505. connecting seat. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0026] Embodiment 1:

[0027] See also Figure 1-Figure 4 As shown, a medical image AI artificial intelligence modeling and recognition device includes:

[0028] Body 1;

[0029] The identification mechanism 2 is installed at the top of the body 1;

[0030] An identification camera 3, which is arranged at the bottom of the identification mechanism 2;

[0031] A clamping mechanism 4, which is installed outside the body 1;

[0032] The adjusting mechanism 5 is arranged inside the clamping mechanism 4. The adjusting mechanism 5 includes a limit plate 501, a threaded rod 502 and an adjusting handle 503. The limit plate 501 is fixedly connected to the inner wall of the clamping mechanism 4. The threaded rod 502 is inserted inside the limit plate 501. The adjusting handle 503 is fixedly connected to the outside of one side of the threaded rod 502. The telescopic spring 504 is fixedly connected to the outside of the threaded rod 502. A connecting seat 505 is installed on the outside of the telescopic spring 504. The threaded rod 502 is threadedly connected to the inside of the limit plate 501. The threaded rod 502 is elastically telescopically connected to the telescopic spring 504. A plurality of adjusting mechanisms 5 are arranged inside the clamping mechanism 4. The adjusting handle 503 is welded to the outer wall of the threaded rod 502.

[0033] Specifically, by rotating the adjustment handle 503 , the threaded rod 502 is threadedly extended and retracted inside the limiting plate 501 after being rotated, so that the connecting seat 505 can be extended and retracted to fix and flatten the graphics placed on the connecting plate 402 .

[0034] As can be seen from the above, when identifying a medical graphic, the graphic is first placed on the outside of the connecting plate 402 and clamped and fixed by the clamping plate 403. Then, by rotating the adjusting handle 503, the threaded rod 502 can be telescopically adjusted and moved inside the limiting plate 501, thereby dragging and straightening the graphic clamped on the connecting plate 402, so that the graphic can be more accurately identified.

[0035] Embodiment 2:

[0036] refer to Figure 3 and Figure 4 As shown, the identification mechanism 2 includes a modeling chip 201, an identification module 202 and a feature extraction module 203. The modeling chip 201 is arranged inside the body 1, the identification module 202 is arranged on the top of the modeling chip 201, the feature extraction module 203 is installed on the outside of the modeling chip 201, a display screen 204 is fixedly connected to the outside of one side of the modeling chip 201, the display screen 204 is fixedly mounted on the outer wall of the modeling chip 201 by screws, and a transparent screen is arranged on the outside of the telescopic spring 504. The clamping mechanism 4 includes a mounting seat 401, a connecting plate 402 and a clamping plate 403. The mounting seat 401 is fixedly mounted on the outside of the body 1, a connecting plate 402 is arranged inside the mounting seat 401, a plurality of clamping plates 403 are arranged on the outer wall of the connecting plate 402, the connecting plate 402 is fixedly connected to the outside of the connecting seat 505, and two connecting plates 402 are arranged.

[0037] From the above, it can be seen that through the setting of the recognition module 202 and the modeling chip 201, the collected medical image data can be pre-processed, including denoising, enhancement, image registration and other processing steps, and through the setting of the feature extraction module 203, the extracted features can be screened and optimized to improve the recognition accuracy, and finally AI modeling analysis can be performed.

[0038] The standard parts used in this utility model can be purchased from the market, and the special-shaped parts can be customized according to the description and the drawings. The specific connection methods of each part adopt the conventional means such as mature bolts, rivets, welding, etc. in the prior art. The machinery, parts and equipment all adopt the conventional models in the prior art, and the circuit connection adopts the conventional connection method in the prior art, which will not be described in detail here. The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0039] In the description of the present utility model, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0040] In the present invention, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", "fix" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] In the present utility model, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0042] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the utility model. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0043] In the drawings of the embodiments disclosed by the present invention, only the structures related to the embodiments disclosed by the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0044] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A medical image AI artificial intelligence modeling and recognition device, characterized in that: include: Body (1); An identification mechanism (2), wherein the identification mechanism (2) is mounted on the top of the body (1); An identification camera (3), wherein the identification camera (3) is arranged at the bottom end of the identification mechanism (2); A clamping mechanism (4), wherein the clamping mechanism (4) is installed outside the machine body (1); An adjusting mechanism (5), the adjusting mechanism (5) being arranged inside the clamping mechanism (4), the adjusting mechanism (5) comprising a limit plate (501), a threaded rod (502) and an adjusting handle (503), the limit plate (501) being fixedly connected to the inner wall of the clamping mechanism (4), the threaded rod (502) being inserted inside the limit plate (501), the adjusting handle (503) being fixedly connected to the outside of one side of the threaded rod (502), the telescopic spring (504) being fixedly connected to the outside of one side of the threaded rod (502), and a connecting seat (505) being installed outside the telescopic spring (504).

2. The medical image AI artificial intelligence modeling and recognition device according to claim 1, characterized in that: The threaded rod (502) is threadably connected to the interior of the limiting plate (501), and the threaded rod (502) is elastically and telescopically connected to the telescopic spring (504).

3. The medical image AI artificial intelligence modeling and recognition device according to claim 1, characterized in that: A plurality of the adjustment mechanisms (5) are arranged inside the clamping mechanism (4), and the adjustment handle (503) is welded to the outer side wall of the threaded rod (502).

4. The medical image AI artificial intelligence modeling and recognition device according to claim 1, characterized in that: The identification mechanism (2) comprises a modeling chip (201), an identification module (202) and a feature extraction module (203); the modeling chip (201) is arranged inside the body (1); the top of the modeling chip (201) is provided with the identification module (202); the outside of the modeling chip (201) is installed with the feature extraction module (203); and one side of the modeling chip (201) is fixedly connected to the outside with a display screen (204).

5. The medical image AI artificial intelligence modeling and recognition device according to claim 4, characterized in that: The display screen (204) is fixedly mounted on the outer wall of the modeling chip (201) by means of screws, and a transparent screen is arranged outside the telescopic spring (504).

6. The medical image AI artificial intelligence modeling and recognition device according to claim 1, characterized in that: The clamping mechanism (4) comprises a mounting seat (401), a connecting plate (402) and a clamping plate (403); the mounting seat (401) is fixedly mounted on the outside of the machine body (1); a connecting plate (402) is arranged inside the mounting seat (401); and a plurality of clamping plates (403) are arranged on the outer side wall of the connecting plate (402).

7. The medical image AI artificial intelligence modeling and recognition device according to claim 6, characterized in that: The connecting plate (402) is fixedly connected to the outside of the connecting seat (505), and two connecting plates (402) are provided.

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