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colonoscopy
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Real-time Automatic Detection and Classification of Colorectal Polyps during Colonoscopy using Interpretable Artificial Intelligence
, M.Sc. Thesis Sharif University of Technology ; Rabiee, Hamid Reza (Supervisor)
Abstract
Cancer is the leading cause of death worldwide, and colorectal cancer is the second leading cause of death in women and the third in men. On the other hand, colon polyps can cause colorectal cancer. Therefore, early detection of polyps is of great importance. In recent years, many methods have been proposed for polyp detection using deep learning with high accuracy, but most of them have problems with speed, accuracy, or interpretability. Speed is important because colonoscopy should be performed as quickly and promptly as possible, and in many cases, it is not possible to repeat the colonoscopy. In addition, many of them only address the issue of polyp detection, while from a medical point...