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 …
WS Liew, TB Tang, CH Lin, CK Lu - Computer Methods and Programs in …, 2021 - Elsevier
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 …
J Ribeiro, S Nóbrega, A Cunha - Procedia Computer Science, 2022 - Elsevier
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 …
P Handa, N Goel, S Indu, D Gunjan - Neural Computing and Applications, 2023 - Springer
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 …