Catalyst Awardee

Project Description

Application of image recognition method based on AI composite model in laparoscopic colorectal cancer surgery

Bin Wu, MD, PhD

Competition Sponsor: Chinese Academy of Medical Sciences

Laparoscopic colorectal surgery has become the standard surgical method for colorectal cancer due to its advantages of minimally invasive, quick recovery and high surgical quality.The protection, separation and disposal of blood vessels, nerves and lymphatics involved in the laparoscopic colorectal surgery require rich clinical experience. It is difficult for junior doctors and to quickly master this surgical skills.An auxiliary system for laparoscopic colorectal surgery which can shorten the learning curve, facilitate the operation and improve the operation quality is urgently needed in clinical practice.The AI algorithm based on image recognition method of artificial intelligence composite model, using convolution neural network for feature extraction.The development of the AI algorithm will be based on the artificial intelligence composite model image recognition method, the use of convolutional neural network for feature extraction, semantic segmentation through optimization combination and deep fusion, to achieve the purpose of fast and accurate recognition and distinction of laparoscopic colorectal surgery area scene.This has not been found in previous papers, patents, monographs and other relevant materials.We plan to develop the system to reduce the risk curve of laparoscopic colorectal surgery and improve the quality of laparoscopic colorectal surgery.

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