Unveiling new patterns: A surgical deep learning model for intestinal obstruction management
Ozan Can Tatar,
Mustafa Alper Akay,
Elif Tatar
et al.
Abstract:BackgroundSwift and accurate decision‐making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision‐making in intestinal obstruction cases.MethodsWe developed a deep learning model based on the YOLOv8 framework, trained on a dataset of 700 images categorised into operated and non‐operated groups, with surgical outcomes as ground truth. The model's performance was evaluated through standard metrics.ResultsAt a confidence threshold of… Show more
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