Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …

Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …

Gastrointestinal (GI) diseases are most common worldwide and the death rate can be
reduced by early detection. Endoscopy is widely regarded as the gold standard for …

Colorectal cancer (CRC) is the third leading cause of cancer death globally. Early detection
and removal of precancerous polyps can significantly reduce the chance of CRC patient …

Deep Learning has contributed significantly to the advances made in the fields of Medical
Imaging and Computer Aided Diagnosis (CAD). Although a variety of Deep Learning (DL) …

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 …

Shape, texture, and color are critical features for assessing the degree of dysplasia in
colonic polyps. A comprehensive analysis of these features is presented in this paper …

Endoscopic mucosal resection (EMR) is an endoscopic technique used to remove sessile or
flat lesions from the gastrointestinal tract. This article reviews EMR and focuses on large …

In vivo diseases such as colorectal cancer and gastric cancer are increasingly occurring in
humans. These are two of the most common types of cancer that cause death worldwide …

The use of medical images for colon cancer detection is considered an important problem.
As the performance of data-driven methods relies heavily on the images generated by a …