Development of a Real-time Colorectal Tumor Classification System for   Narrow-band Imaging zoom-videoendoscopy
  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. 
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda,   Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
cs.CV