Colonic polyps detection remains an unsolved issue because of the wide variation in the
appearance, texture, color, size, and appearance of the multiple polyp-like imitators during …

Automatic image detection of colonic polyps is still an unsolved problem due to the large
variation of polyps in terms of shape, texture, size, and color, and the existence of various …

Abstract Background and Objective The increased incidence of colorectal cancer (CRC) and
its mortality rate have attracted interest in the use of artificial intelligence (AI) based …

A computer-aided detection (CAD) tool for locating and detecting polyps can help reduce the
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …

This paper summarizes the method of polyp detection in colonoscopy images and provides
preliminary results to participate in ISBI 2015 Grand Challenge on Automatic Polyp …

Colorectal Cancer (CRC) has the highest mortality rate of all cancers and is currently the
third leading cause of cancer-related death worldwide. The early detection and diagnosis of …

Background Over the last years, the most relevant results in the context of polyp detection
were achieved through deep learning techniques. However, the most common obstacles in …

A colonic polyp is a growth in the lining of the colon or rectum and can be detected through
colonoscopies. The efficiency of colonoscopies depends on the number of polyps detected …

Colorectal Cancer (CRC) is the third most dangerous cancer in the world and also
increasing day by day. So, timely and accurate diagnosis is required to save the life of …

Manual detection of colorectal polyps in the colonoscopy videos during diagnosis of
colorectal cancer can be challenging due to the large no. of sequential frames and high …