Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …

Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

The first step in the diagnosis of gastric abnormalities is the detection of various
abnormalities in the human gastrointestinal tract. Manual examination of endoscopy images …

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 …

Colorectal polyps is a prevalent medical condition that could lead to colorectal cancer, a
leading cause of cancer-related mortality globally, if left undiagnosed. Colonoscopy remains …

The early detection of digestive problems is essential for lowering the chance of acquiring
any form of gastrointestinal cancer, including esophageal cancer. Endoscopy is the method …

Recent advancements in deep learning have significantly improved the intelligent
classification of gastrointestinal (GI) diseases, particularly in aiding clinical diagnosis. This …

Abstract Each year, more than 1.9 million cases of colorectal cancer (CRC) are diagnosed
worldwide. By 2040, the burden of colorectal cancer is estimated to reach 3.2 million new …

As an emerging technology that uses a pill‐sized camera to visualize images of the
digestive tract. Wireless capsule endoscopy (WCE) presents several advantages, since it is …

The third most common disease in the world that leads to mortality is colorectal cancer
(CRC). Colonoscopy, which locates and removes colonic polyps, is the most common …