Exploration of machine learning models for surgical incision healing assessment based on thermal imaging: A feasibility study
Fanfan Li,
Hongyu Zhang,
Shangqing Xu
et al.
Abstract:In this study, we explored the use of thermal imaging technology combined with computer vision techniques for assessing surgical incision healing. We processed 1189 thermal images, annotated by experts to define incision boundaries and healing statuses. Using these images, we developed a machine learning model based on YOLOV8, which automates the recognition of incision areas, lesion segmentation and healing classification. The dataset was divided into training, testing and validation sets in a 7:2:1 ratio. Ou… Show more
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