Accurate segmentation of polyps from colonoscopy images plays a critical role in the
diagnosis and cure of colorectal cancer. Although effectiveness has been achieved in the …

Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

This paper presents the culmination of our research in designing a system for computer-
aided detection (CAD) of polyps in colonoscopy videos. Our system is based on a hybrid …

This work aims at automatic polyp detection by using a model of polyp appearance in the
context of the analysis of colonoscopy videos. Our method consists of three stages: region …

Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal
(GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring …

Colorectal cancer has become one of the major causes of death throughout the world. Early
detection of Polyp, an early symptom of colorectal cancer, can increase the survival rate to …

Colorectal polyps are important precursors to colon cancer, a major health problem. Colon
capsule endoscopy is a safe and minimally invasive examination procedure, in which the …

A major rise in the prevalence and influence of colorectal cancer (CRC) leads to
substantially increasing healthcare costs and even death. It is widely accepted that early …

Analysis of colonoscopy images plays a significant role in early detection of colorectal
cancer. Automated tissue segmentation can be useful for two of the most relevant clinical …

It is noted that the foreground and background of the polyp images detected under
colonoscopy are not highly differentiated, and the feature map extracted by common deep …