2016/12/15 by Tsubasa Hirakawa, Toru Tamaki, Hirakawa, Tsubasa +13
Computer Science · #AI in cancer detection #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #cs.CV
paper · pdf · doi:10.48550/arxiv.1612.05000
9 pages, 8 figures
openalex publication_date 2016/12/15 · arxiv created 2016/12/21 · arxiv updated 2016/12/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.