Real-time auxiliary system for controllable capsule endoscope operation on the basis of deep learning, and operation method
A capsule endoscopy and deep learning technology, applied in endoscopy, medical science, image data processing, etc., can solve the problems of missing inspection parts and failing to find suspicious areas, so as to avoid missed diagnosis, save time and energy, improve The effect of accuracy and validity
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[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0034] Such as figure 1 As shown, the deep learning-based controllable capsule endoscope operation real-time assistance system of the embodiment of the present invention includes:
[0035] At least one client is used to monitor and upload the capsule endoscopy images collected by the current capsule endoscopy device through the network, and receive and display the feedback analysis results. Each client includes a communication module and an image demonstration module; among them, the communication module is used to send requests to the server and obtain analysis results from the server, which is s...
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