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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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Principais autores: Qing Feng, Shahzad Ahmed, Yueming Zhang, Lan He, Muhammad Yaqub
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2025-10-01
coleção:Scientific Reports
Assuntos:
Colorectal cancer
Polyp segmentation
Medical image analysis
Attention mechanisms
Deep learning
Acesso em linha:https://doi.org/10.1038/s41598-025-21954-y
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