Image recognition method and related device
An image recognition and image technology, applied in the field of data processing, can solve problems such as false positive diagnosis and extremely high workload requirements, and achieve the effect of improving accuracy
Pending Publication Date: 2019-07-05
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
In the past 50 years, many countries have reported that the morbidity and mortality of lung cancer have increased significantly. Traditional lung cancer screening relies on professional medical personnel to interpret lung images and screen out suspicious lung nodules. The workload is extremely demanding, and false positive diagnoses are prone to occur. Therefore, how to improve the accuracy of image recognition of lung cancer lesions is a technical problem to be solved by those skilled in the art.
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[0024] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. According to the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0025] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a pro...
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The embodiment of the invention discloses an image recognition method and a related device. The method comprises the following steps: inputting a target lung scanning image into a first neural networkto obtain a first category probability graph; inputting the first category probability graph into a second neural network to obtain a second category probability graph; extracting nodule units in thetarget lung scanning image according to the first class probability graph to obtain a plurality of nodule units; inputting each nodule unit in the plurality of nodule units into a third neural network to obtain a third category probability map for the nodule type of each nodule unit in the plurality of nodule units; and inputting the second category probability map and the third category probability map into a fourth neural network to obtain the lung cancer disease probability of the target patient corresponding to the target lung scanning image. According to the invention, the accuracy of image recognition of the lung cancer lesion part is improved.
Description
technical field [0001] This application relates to the technical field of data processing, and mainly relates to an image recognition method and related equipment. Background technique [0002] Lung cancer is one of the malignant tumors with the fastest increasing morbidity and mortality and the greatest threat to the health and life of the population. In the past 50 years, many countries have reported that the morbidity and mortality of lung cancer have increased significantly. Traditional lung cancer screening relies on professional medical personnel to interpret lung images and screen out suspicious lung nodules. The workload is extremely demanding, and false positive diagnoses are prone to occur. Therefore, how to improve the accuracy of image recognition of lung cancer lesions is a technical problem to be solved by those skilled in the art. Contents of the invention [0003] The embodiment of the present application provides an image recognition method and related eq...
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Login to View More IPC IPC(8): G06K9/62G06K9/46G16H50/20
CPCG16H50/20G06V10/457G06V2201/03G06F18/2415
Inventor 王健宗肖京
Owner PING AN TECH (SHENZHEN) CO LTD