title: Image segmentation of pyramid style identifier based on Support Vector Machine for colorectal endoscopic images.
abstract: With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the computer-aided diagnosis (CAD) system which supports doctor's diagnosis is essential. In this paper, a hardware design of type identification module in CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification is proposed for real-time processing of full high definition image (1920 × 1080 pixel). A pyramid style image segmentation with SVMs for multi-size scan windows, which can be implemented on an FPGA with small circuit area and achieve high accuracy, is proposed for actual complex colorectal endoscopic images.
authors.forename: Takumi
authors.initials: T
authors.lastname: Okamoto
authors.forename: Tetsushi
authors.initials: T
authors.lastname: Koide
authors.forename: Koki
authors.initials: K
authors.lastname: Sugi
authors.forename: Tatsuya
authors.initials: T
authors.lastname: Shimizu
authors.lastname: Anh-Tuan Hoang
authors.forename: Toru
authors.initials: T
authors.lastname: Tamaki
authors.forename: Bisser
authors.initials: B
authors.lastname: Raytchev
authors.forename: Kazufumi
authors.initials: K
authors.lastname: Kaneda
authors.forename: Yoko
authors.initials: Y
authors.lastname: Kominami
authors.forename: Shigeto
authors.initials: S
authors.lastname: Yoshida
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Mieno
authors.forename: Shinji
authors.initials: S
authors.lastname: Tanaka
mesh_terms: D003113:Colonoscopy; D015179:Colorectal Neoplasms; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D062048:Narrow Band Imaging; D060388:Support Vector Machine