Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy

TL;DR

This paper presents a real-time computer-aided diagnosis system for colorectal tumor classification using narrow-band imaging, enhancing early detection and providing objective support during endoscopic procedures.

Contribution

The study introduces a novel real-time CAD system that classifies colorectal tumors during endoscopy using a pretrained classifier and displays results instantly.

Findings

System operates efficiently in real endoscopic settings

Provides medically significant objective measures

Enhances early detection of colorectal cancer

Abstract

Colorectal endoscopy is important for the early detection and treatment of colorectal cancer and is used worldwide. A computer-aided diagnosis (CAD) system that provides an objective measure to endoscopists during colorectal endoscopic examinations would be of great value. In this study, we describe a newly developed CAD system that provides real-time objective measures. Our system captures the video stream from an endoscopic system and transfers it to a desktop computer. The captured video stream is then classified by a pretrained classifier and the results are displayed on a monitor. The experimental results show that our developed system works efficiently in actual endoscopic examinations and is medically significant.