We have developed a technique to study how good computers can be at diagnosing
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …

An early detection of colorectal cancer through colorectal endoscopy is important and widely
used in hospitals as a standard medical procedure. During colonoscopy, the lesions of …

Colonoscopy screening and colonoscopic polypectomy can decrease the incidence and
mortality rate of colorectal cancer (CRC). The adenoma detection rate and accuracy of …

Background and Aims Artificial intelligence (AI)–based computer-aided diagnostic (CADx)
algorithms are a promising approach for real-time histology (RTH) of colonic polyps. Our aim …

BACKGROUND: Narrow-band imaging (NBI) classification of colorectal lesions is clinically
useful in determining treatment options for colorectal tumors. There is a learning curve …

Colorectal cancer is the third most common type of cancer worldwide. However, this disease
can be prevented by detection and removal of precursor adenomatous polyps during optical …

Background: Narrow-band imaging based on laser light illumination has come into recent
use. We devised a support vector machine (SVM)-based analysis system to be used with the …

Abstract Background and Aim Magnifying endoscopy with flexible spectral imaging color
enhancement (FICE) is clinically useful in diagnosing gastric cancer and determining …

In this work we propose a method to extract shape-based features from endoscopic images
for an automated classification of colonic polyps. This method is based on the density of pits …

Achieving accurate classification of colorectal polyps during colonoscopy can avoid
unnecessary endoscopic biopsy or resection. This study aimed to develop a deep learning …