Accurate segmentation of polyps is a crucial step in the efficient diagnosis of colorectal
cancer during screening procedures. The prevalent UNet-like encoder-decoder frameworks …

Automatic polyp segmentation is considered indispensable in modern polyp screening
systems. It can help the clinicians accurately locate polyp areas for further diagnosis or …

Clinically, automated polyp segmentation techniques have the potential to significantly
improve the efficiency and accuracy of medical diagnosis, thereby reducing the risk of …

Automatic polyp segmentation in the screening system is of great practical significance for
the diagnosis and treatment of colorectal cancer. However, accurate segmentation in the …

Polyps detection plays an important role in colonoscopy, cancer diagnosis, and early
treatment. Many efforts have been made to improve the encoder-decoder framework using …

Colorectal cancer is one of the three most common cancers worldwide. Polyps are complex
and have unclear boundaries, often leading to inaccurate boundary segmentation and …

Accurate polyp segmentation is of immense importance for the early diagnosis and
treatment of colorectal cancer. However, polyp segmentation is a difficult task, and most …

Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal
cancer (CRC) in clinical practice. However, due to scale variation and blurry polyp …

Accurate polyp segmentation is important for the diagnosis and treatment of colon cancer. In
recent years, efforts have been made to improve the encoder-decoder framework by using …

Polyp of intestinal tract is the precursor of colorectal cancer. Accurate computer-aided polyp
location and segmentation in colonoscopy is of great importance since it provides valuable …