Artificial intelligence in medicine
Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentation.
Md Faysal Ahamed, Fariya Bintay Shafi, Md Rabiul Islam, Md Fahmidun Nabi, Julfikar Haider
Published: 202610.1016/j.artmed.2026.103352
Abstract
Prompt detection of colorectal polyps is essential for preventing colorectal cancer, a leading cause of cancer-related deaths worldwide. However, manual detection through medical imaging faces significant challenges, including high costs, reliance on…
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