A Hierarchical Type Segmentation Algorithm based on Support Vector Machine for Colorectal Endoscopic Images with NBI Magnification

نویسندگان

  • Takumi Okamoto
  • Tetsushi Koide
  • Anh - Tuan Hoang
  • Koki Sugi
  • Tatsuya Shimizu
  • Toru Tamaki
  • Bisser Raytchev
  • Kazufumi Kaneda
  • Yoko Kominami
  • Shigeto Yoshida
  • Shinji Tanaka
چکیده

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 (1920x1080 pixel). A pyramid style identifier with SVMs for multi-size scan windows, which can be implemented with small circuit area and achieve high accuracy, is verified for actual complex colorectal endoscopic images.

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تاریخ انتشار 2015