Endoscopy monitoring method and device
A technology of endoscopy and endoscopy, applied in the field of deep learning, to avoid misdiagnosis and missed diagnosis, and improve the detection rate
Active Publication Date: 2020-07-03
青岛美迪康数字工程有限公司
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[0004] In order to overcome the above-mentioned deficiencies in the prior art, the purpose of this application is to provide a method and device for endoscopy monitoring to solve or improve the above-mentioned problems
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[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.
[0065] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.
[0066] It should ...
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The embodiment of the present application provides an endoscopic inspection monitoring method and device, which uses deep learning technology to perform image recognition on each key frame in the medical image collected by the gastrointestinal endoscope, and obtains the image recognition result and the first inspection score, Then, according to the image recognition results, the key frame with the anatomical part of the digestive system organs as the target part is taken as a digestive endoscopy image, and each digestive endoscopy image is filled in the pre-configured image filling area corresponding to the image filling of the target part In the box, the unfilled number of the image filled box is counted to generate the second inspection score. Then perform image analysis and recognition on each filled digestive endoscope, and generate a third inspection score based on the image analysis and recognition results, and finally generate an endoscopy monitoring score based on the first inspection score, the second inspection score, and the third inspection score result. In this way, while realizing intelligent quality control, it can assist the operator to better complete the endoscopic operation and improve the detection rate of lesions.
Description
technical field [0001] The present application relates to the field of deep learning, in particular, to an endoscopy monitoring method and device. Background technique [0002] Digestive endoscopy has become one of the important means for screening, diagnosing, and treating early upper gastrointestinal cancer, and endoscopic lesion biopsy pathology is the "gold standard" for diagnosing early upper gastrointestinal cancer. Endoscopic diagnosis and treatment technology is that medical personnel use endoscopic instruments to observe local lesions, obtain tissue materials, stop bleeding, resect, drain, repair or reconstruct channels through digestive lumens or artificially established channels, under direct vision or with the support of auxiliary equipment. Etc. Diagnosis and treatment measures for the purpose of clear diagnosis, cure of disease, relief of symptoms, improvement of function, etc. [0003] However, at present, medical personnel mainly rely on manual observation r...
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IPC IPC(8): G06T7/00G06N3/04
CPCG06T7/0012G06T2207/20081G06T2207/30028G06T2207/30092G06N3/045
Inventor 李延青冯健左秀丽李真李广超邵学军赖永航
Owner 青岛美迪康数字工程有限公司