CN112687384A - Artificial intelligent breast cancer ultrasonic detection system and method - Google Patents
Artificial intelligent breast cancer ultrasonic detection system and method Download PDFInfo
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- CN112687384A CN112687384A CN202011603986.3A CN202011603986A CN112687384A CN 112687384 A CN112687384 A CN 112687384A CN 202011603986 A CN202011603986 A CN 202011603986A CN 112687384 A CN112687384 A CN 112687384A
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Abstract
The invention discloses an artificial intelligence breast cancer ultrasonic detection system and a method, wherein the system comprises an artificial intelligence analysis terminal, a detection module and a remote mutual-aid module, wherein the artificial intelligence analysis terminal is coupled with the detection module, and the remote mutual-aid module is in communication connection with the detection module; the artificial intelligence analysis terminal comprises a processing module, a learning module and a judging module, and the detection module comprises an ultrasonic detector, an ultrasonic probe driving mechanism and a detection terminal. By arranging the intelligent analysis terminal and adopting a machine based on an image recognition program, the image information acquired by the ultrasonic probe is compared with the existing breast cancer sample information, so that the focus which can not be recognized by human eyes can be recognized; set up long-range mutual-aid module and detection module communication and be connected and the real-time mutual subassembly of pronunciation, make the ultrasonic testing of the online long-range participation of three third doctors and control breast cancer, can be according to the experience analysis state of an illness of self to communicate with body doctor, thereby the state of an illness of rapid analysis goes out, formulates the scheme of diagnosing.
Description
Technical Field
The invention relates to the technical field of cancer ultrasonic inspection, in particular to an artificial intelligent breast cancer ultrasonic detection system and method.
Background
Breast cancer is a malignant tumor occurring in mammary epithelium or ductal epithelium, the cause of which is not completely clear, and may be related to family history, breast cancer-related genes, reproductive factors, sex hormones, nutrition, diet, environmental factors, and the like. Early breast cancer mostly has no obvious symptoms and is mostly found in health general survey. Most of the breast painless lumps appear in the late stage, such as retraction of nipple, breast skin 'dimple disease' or cellulitis, axillary lymphadenectasis, etc. The patient can go to a medical institution for breast examination under the condition of discomfort of the patient, and lesions and breast tumors can be found as early as possible, so that the treatment is facilitated.
With the development of science and technology, artificial intelligence is becoming more widely used, which is a branch of computer science and attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence, and the research in this field includes robotics, speech recognition, image recognition, natural language processing, expert systems, and the like.
The method is beneficial to artificial intelligence auxiliary medical detection, and has the advantages that focus points can be rapidly judged through image recognition, and the lesion areas which can not be distinguished by human eyes can be distinguished, so that the method is very important for breast cancer examination by combining artificial intelligence image recognition.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an artificial intelligent breast cancer ultrasonic detection system and method.
In order to achieve the purpose, the invention adopts the following technical scheme:
an artificial intelligence breast cancer ultrasonic detection system comprises an artificial intelligence analysis terminal, a detection module and a remote mutual-aid module, wherein the artificial intelligence analysis terminal is coupled with the detection module, and the remote mutual-aid module is in communication connection with the detection module; the artificial intelligence analysis terminal comprises a processing module, a learning module and a judging module, the detection module comprises an ultrasonic detector, an ultrasonic probe driving mechanism and a detection terminal, and the remote mutual-aid module is connected with the remote control ultrasonic probe driving mechanism through a network to change the detection position of the ultrasonic probe; the processing module of the artificial intelligence analysis terminal is a central processing unit, and the learning module comprises a storage module and an information acquisition module; the information acquisition module is an image input module, a manual input module and a networking information acquisition module; the remote mutual-aid module is in communication connection with a detection terminal of the detection module and acquires detection images and data acquired by the detection module in real time, and the detection terminal is provided with a voice real-time interaction assembly and can be in real-time voice interaction with the remote mutual-aid module.
Preferably, the ultrasonic probe driving mechanism is a six-axis mechanical arm for clamping the ultrasonic probe, and is equipped with a high-definition camera and a shadowless lamp.
Preferably, the remote mutual-aid module comprises a display terminal, a communication component and a control module for controlling the ultrasonic probe driving mechanism.
Preferably, the artificial intelligence analysis terminal is used for acquiring the image transmitted by the detection module and comparing the image with the image of the existing disease sample.
An artificial intelligence breast cancer ultrasonic detection method implemented based on the artificial intelligence breast cancer ultrasonic detection system comprises the following steps:
1) controlling an ultrasonic probe driving mechanism to drive an ultrasonic detector probe to move through a detection terminal, and carrying out multi-angle ultrasonic imaging detection on the breast of the patient;
2) the ultrasonic imaging information is transmitted to the detection terminal, synchronously transmitted to the artificial intelligent analysis terminal, and compared with the existing disease sample picture through the judgment module, the judgment module judges;
3) the detection terminal synchronously transmits ultrasonic imaging information, probe position information and patient breast video information to the remote mutual aid module;
4) the third doctor performs online communication with the local doctor through the voice real-time interaction assembly, and can remotely control the ultrasonic probe driving mechanism through the control module to change the detection position;
5) suspicious lesion images are found and recorded, and the artificial intelligence analysis terminal, the trimethicone and the ontology physician assist in locking the lesions.
Preferably, the video information of the breasts of the patient is acquired by adopting a high-definition camera through auxiliary illumination of a shadowless lamp.
The invention has the following beneficial effects:
1. this artificial intelligence breast cancer ultrasonic testing system, ultrasonic detector through setting up detection module can carry out ultrasonic testing to patient's breast, can control the position that changes ultrasonic probe through setting up ultrasonic probe actuating mechanism, through setting up intelligent analysis terminal, adopt the machine based on image recognition procedure, contrast image information and the current breast cancer disease sample information that ultrasonic probe gathered through the contrast module to can discern the focus that people's eye can not discern, thereby the precision is higher.
2. This artificial intelligence breast cancer ultrasonic testing method is connected with the detection module communication through setting up long-range mutual aid module, has still set up the real-time mutual subassembly of pronunciation simultaneously, makes the ultrasonic testing of the online long-range participation of three third doctors and control breast cancer, can be according to the empirical analysis state of an illness of self to communicate with the body doctor, thereby study each other, can the rapid analysis go out the state of an illness, formulate the scheme of diagnosing.
Drawings
FIG. 1 is a block diagram of an artificial intelligence ultrasound system for detecting breast cancer according to the present invention;
fig. 2 is a schematic linear flow chart of an artificial intelligence breast cancer ultrasonic detection method provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1-2, an artificial intelligence breast cancer ultrasonic detection system, includes an artificial intelligence analysis terminal, a detection module and a remote mutual-aid module, the artificial intelligence analysis terminal is coupled with the detection module, the remote mutual-aid module is connected with the detection module in communication; the artificial intelligence analysis terminal comprises a processing module, a learning module and a judging module, the detection module is an ultrasonic detector, an ultrasonic probe driving mechanism and a detection terminal, and the remote mutual-aid module is connected with the remote control ultrasonic probe driving mechanism through a network to change the detection position of the ultrasonic probe; the processing module of the artificial intelligence analysis terminal is a central processing unit, and the learning module comprises a storage module and an information acquisition module; the information acquisition module is an image input module, a manual input module and a networking information acquisition module; the remote mutual-aid module is in communication connection with the detection terminal of the detection module, and acquires detection images and data acquired by the detection module in real time, and the detection terminal is provided with a voice real-time interaction assembly and can be in real-time voice interaction with the remote mutual-aid module.
Ultrasonic probe actuating mechanism is six robotic arm of centre gripping ultrasonic probe, and is equipped with high definition digtal camera and shadowless light, and long-range mutual module includes display terminal, communication subassembly and control ultrasonic probe actuating mechanism's control module, and artificial intelligence analysis terminal is used for acquireing the image that detection module conveyed and compares with having the disease sample image.
This artificial intelligence breast cancer ultrasonic testing system, ultrasonic detector through setting up detection module can carry out ultrasonic testing to patient's breast, can control the position that changes ultrasonic probe through setting up ultrasonic probe actuating mechanism, through setting up intelligent analysis terminal, adopt the machine based on image recognition procedure, contrast image information and the current breast cancer disease sample information that ultrasonic probe gathered through the contrast module to can discern the focus that people's eye can not discern, thereby the precision is higher.
An artificial intelligence breast cancer ultrasonic detection method implemented based on the artificial intelligence breast cancer ultrasonic detection system comprises the following steps:
1) controlling an ultrasonic probe driving mechanism to drive an ultrasonic detector probe to move through a detection terminal, and carrying out multi-angle ultrasonic imaging detection on the breast of the patient;
2) the ultrasonic imaging information is transmitted to the detection terminal, synchronously transmitted to the artificial intelligent analysis terminal, and compared with the existing disease sample picture through the judgment module, the judgment module judges;
3) the detection terminal synchronously transmits ultrasonic imaging information, probe position information and patient breast video information to the remote mutual aid module;
4) the third doctor performs online communication with the local doctor through the voice real-time interaction assembly, and can remotely control the ultrasonic probe driving mechanism through the control module to change the detection position;
5) suspicious lesion images are found and recorded, and the artificial intelligence analysis terminal, the trimethicone and the ontology physician assist in locking the lesions.
In the detection process, the breast video information of the patient is acquired by adopting a high-definition camera through auxiliary illumination of a shadowless illuminating lamp; this artificial intelligence breast cancer ultrasonic testing method is connected with the detection module communication through setting up long-range mutual aid module, has still set up the real-time mutual subassembly of pronunciation simultaneously, makes the ultrasonic testing of the online long-range participation of three third doctors and control breast cancer, can be according to the empirical analysis state of an illness of self to communicate with the body doctor, thereby study each other, can the rapid analysis go out the state of an illness, formulate the scheme of diagnosing.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. An artificial intelligence breast cancer ultrasonic detection system is characterized by comprising an artificial intelligence analysis terminal, a detection module and a remote mutual aid module, wherein the artificial intelligence analysis terminal is coupled with the detection module, and the remote mutual aid module is in communication connection with the detection module; the artificial intelligence analysis terminal comprises a processing module, a learning module and a judging module, the detection module comprises an ultrasonic detector, an ultrasonic probe driving mechanism and a detection terminal, and the remote mutual-aid module is connected with the remote control ultrasonic probe driving mechanism through a network to change the detection position of the ultrasonic probe;
the processing module of the artificial intelligence analysis terminal is a central processing unit, and the learning module comprises a storage module and an information acquisition module; the information acquisition module is an image input module, a manual input module and a networking information acquisition module;
the remote mutual-aid module is in communication connection with a detection terminal of the detection module and acquires detection images and data acquired by the detection module in real time, and the detection terminal is provided with a voice real-time interaction assembly and can be in real-time voice interaction with the remote mutual-aid module.
2. The artificial intelligence ultrasonic breast cancer detection system of claim 1, wherein: the ultrasonic probe driving mechanism is a six-axis mechanical arm for clamping the ultrasonic probe and is provided with a high-definition camera and a shadowless illuminating lamp.
3. The artificial intelligence ultrasonic breast cancer detection system of claim 1, wherein: the remote mutual-aid module comprises a display terminal, a communication assembly and a control module for controlling the ultrasonic probe driving mechanism.
4. The artificial intelligence ultrasonic breast cancer detection system of claim, wherein: the artificial intelligence analysis terminal is used for acquiring the image transmitted by the detection module and comparing the image with the existing disease sample image.
5. An artificial intelligence breast cancer ultrasonic detection method implemented based on the artificial intelligence breast cancer ultrasonic detection system of any one of the claims 1 to 4, characterized by comprising the following steps:
1) controlling an ultrasonic probe driving mechanism to drive an ultrasonic detector probe to move through a detection terminal, and carrying out multi-angle ultrasonic imaging detection on the breast of the patient;
2) the ultrasonic imaging information is transmitted to the detection terminal, synchronously transmitted to the artificial intelligent analysis terminal, and compared with the existing disease sample picture through the judgment module, the judgment module judges;
3) the detection terminal synchronously transmits ultrasonic imaging information, probe position information and patient breast video information to the remote mutual aid module;
4) the third doctor performs online communication with the local doctor through the voice real-time interaction assembly, and can remotely control the ultrasonic probe driving mechanism through the control module to change the detection position;
5) suspicious lesion images are found and recorded, and the artificial intelligence analysis terminal, the trimethicone and the ontology physician assist in locking the lesions.
6. The artificial intelligence ultrasonic breast cancer detection method of claim 5, wherein: the breast video information of the patient is acquired by adopting a high-definition camera through auxiliary illumination of a shadowless illuminating lamp.
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