A deep learning-based model was developed for real-time recognition of perigastric blood vessels during laparoscopic radical gastrectomy. In testing, the model demonstrated high precision (mean 0.9442) and recall (mean 0.9099) for arteries and maintained robust performance across various challenging conditions. It showed potential to improve intraoperative safety and reduce the risk of accidental bleeding, particularly beneficial for surgeons of varying skill levels. This innovation addresses significant safety concerns during gastric cancer surgery.
Journal Article by Chen G, Xie Y (…) Han F et 5 al. in BJS Open
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