Intelligent auxiliary system for intestinal polyp detection and recognition

Abstract

The invention discloses an intelligent auxiliary system for intestinal polyp detection and recognition. The system comprises an intestinal tract image acquisition unit, an intestinal tract polyp detection unit and an intestinal tract detection display unit, wherein the intestinal tract image acquisition unit is used for acquiring an intestinal tract image and then inputting the intestinal tract image into the intestinal tract polyp detection unit to position and identify intestinal tract polyp, and the intestinal tract detection display unit can synchronously mark and display detection information of intestinal tract polyp on the intestinal tract image while performing video presentation on the intestinal tract image. The system can be connected to various different types of intestinal tract image equipment, the universality is high, the detection unit adopts a deep learning method to greatly improve the positioning and recognition accuracy of intestinal tract polyp, the intestinal tract polyp and intestinal tract images are synchronously displayed in real time, and the detection efficiency and convenience are improved.

Description

technical field [0001] The invention relates to the field of combined medical and computer technologies, in particular to an intelligent auxiliary system for detecting and identifying intestinal polyps. Background technique [0002] Intestinal polyps are a common intestinal disease. Endoscopic intestinal detection is a method of intestinal disease detection. The intestinal endoscope is used to go deep into the intestinal tract to collect intestinal images. The image is judged, and the lesion can be found to the maximum extent, so as to determine the patient's condition. Endoscopic intestinal examination has the advantages of high detection efficiency and low cost, and can basically detect all intestinal areas, and has been adopted by major hospitals around the world. Existing endoscopic intestinal detection usually determines the location of polyps by observing the detection results with the naked eye. The detection rate of polyps is also affected by factors such as physici...

AI Technical Summary

Problems solved by technology

[0004] The technical problem mainly solved by the present invention is to provide an intelligent auxiliary system for the detection and identification of intestinal polyps, which solves the problem of low positioning and identification accuracy in the detection and identification of intestinal polyps in the prior art, and insufficient timeliness of identification. Strong and other issues

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