System and method for collecting and marking gastrointestinal endoscope video image data

Abstract

The invention discloses a system and method for collecting and marking gastrointestinal endoscope video image data. The system comprises a data acquisition unit, a preprocessing unit, a storage unit and a marking unit; the data acquisition unit is used for acquiring video image data output by the gastrointestinal endoscope host; the preprocessing unit is used for preprocessing the video image data and storing the video image data into the storage unit in a segmented manner; and the marking unit is used for marking the preprocessed video image data in the storage unit with label information. By cutting and removing the gastrointestinal endoscope video image data collected in the gastrointestinal endoscope host, only the image data in the operation process is reserved, the image data in gastrointestinal endoscope examination is completely collected, a database is expanded, and follow-up operation is facilitated. And meanwhile, video data in the operation process are marked, so that the examined part can be known more visually, and the processing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a system and method for collecting and labeling video image data of gastrointestinal endoscopy Background technique [0002] As a hot branch in the field of artificial intelligence, deep learning has developed rapidly in computer vision and has more and more applications in the medical field. The implementation of deep learning algorithms requires a large amount of data to participate in the learning and verification of algorithms, which makes deep learning have certain limitations in some application scenarios where data collection is difficult, such as gastrointestinal endoscopy data collection. [0003] Gastrointestinal endoscopy is the most common, most direct, and most accurate examination method for gastrointestinal tract examination. At present, gastrointestinal endoscopy is widely used. However, hospitals generally only keep the image data of key ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of less image data in gastrointestinal endoscopy in the prior art, the present invention proposes a system and method for collecting and labeling gastrointestinal endoscope video image data, by collecting gastrointestinal endoscope video in the gastrointestinal endoscope host The image data is cropped and removed, so that only the image data during the operation is retained, which realizes the entire collection of image data in the gastroenteroscopy examination, expands the database, and facilitates follow-up operations

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