Alimentary tract dissection position recognition device

Abstract

The invention discloses an alimentary tract dissection position recognition device, which comprises an acquisition module, a training module and a classification module, wherein the acquisition moduleis used for acquiring a training set and a test set; the training module is used for selecting a deep learning framework-based deep network model as the current deep network model, the training set is used to train the current deep network model, the test set is used to obtain recognition precision data of the current deep network model, whether the recognition precision data meet a preset precision requirement is judged, if yes, the training is completed, if not, a deep network model obtained after the current deep network model after training is adjusted is determined to be the current deepnetwork model, and the step of using the training set to train the current deep network model is returned; and the classification module is used for inputting an alimentary tract dissection picture acquired by capsule endoscopy to the deep network model which completes training, and an alimentary tract dissection position corresponding to the alimentary tract dissection picture outputted by the deep network model is obtained. Thus, accurate positioning of the capsule in the body is realized.

Description

technical field [0001] The invention relates to the technical field of medical devices, and more specifically, to a device for identifying anatomical positions of the digestive tract. Background technique [0002] The capsule endoscope is used to take images or videos of the inner wall of the human digestive tract while moving in the human digestive tract, and wirelessly transmits to the external signal receiving device. Compared with the traditional medical endoscope, the capsule endoscope has the advantages of simple operation, It has the advantages of no trauma, no pain, no cross-infection, and does not affect the normal work of patients. It has high medical diagnostic value especially for the examination of small intestine diseases. [0003] Capsule endoscopy collects a large number of pictures of the digestive tract, with a huge amount of data, and the automatic identification of the anatomical position of the digestive tract can play a positive role in reading films fo...

AI Technical Summary

Problems solved by technology

At present, most of the identification schemes for the anatomical position of the digestive tract rely on the image data sent back by the medical staff to roughly identif

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