Deep learning and body composition model for predicting postoperative complications in colorectal cancer

BackgroundColorectal cancer (CRC) is the third most commonly diagnosed malignancy worldwide and remains a leading cause of cancer-related mortality. Surgical resection remains the cornerstone of curative treatment for CRC; however, postoperative complications, including anastomotic leakage, infectio...

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Autors principals:	Ding Ding, Ran Xuan, Rui Li
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-06-01
Col·lecció:	Frontiers in Medical Technology
Matèries:	automatic segmentation body composition colorectal cancer deep learning machine learning postoperative complications
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmedt.2026.1817439/full
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