HSSAM-Net: hyper-scale shifted aggregation network for precise colorectal polyp segmentation in endoscopic images

Abstract Colorectal cancer remains a leading cause of cancer-related mortality worldwide, emphasizing the importance of early detection through accurate polyp identification. However, colonoscopy relies heavily on precise polyp segmentation in endoscopic images, yet this task remains challenging due...

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Autori principali:	Qing Feng, Shahzad Ahmed, Yueming Zhang, Lan He, Muhammad Yaqub
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-10-01
Serie:	Scientific Reports
Soggetti:	Colorectal cancer Polyp segmentation Medical image analysis Attention mechanisms Deep learning
Accesso online:	https://doi.org/10.1038/s41598-025-21954-y
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