Colonoscopy is one of the main methods to detect colon polyps, and its detection is widely
used to prevent and diagnose colon cancer. With the rapid development of computer vision …

Most colorectal cancers originate from adenomatous polyps, which start as single
asymptomatic polyps and develop into malignant tumors. In clinical practice, colonoscopy is …

Colonoscopy, currently the most efficient and recognized colon polyp detection technology,
is necessary for early screening and prevention of colorectal cancer. However, due to the …

Colorectal polyps are known to be potential precursors to colorectal cancer. Effective polyp
segmentation during colonoscopy examinations can help the clinicians accurately locate …

Deep learning technology has shown considerable potential in various domains. However,
due to privacy issues associated with medical data, legal and ethical constraints often result …

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for
developing colorectal cancer. However, polyp segmentation is a challenging task due to the …

Colon polyps in colonoscopy images exhibit significant differences in color, size, shape,
appearance, and location, posing significant challenges to accurate polyp segmentation. In …

Polyp segmentation plays a role in image analysis during colonoscopy screening, thus
improving the diagnostic efficiency of early colorectal cancer. However, due to the variable …

Colonoscopy is considered the best prevention and control method for colorectal cancer,
which suffers extremely high rates of mortality and morbidity. Automated polyp segmentation …

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