Paper Abstract and Keywords |
Presentation |
2013-11-08 10:50
The Real-time Type Classification Architecture for Colorectal Endoscopic Images with NBI Magnification Satoshi Shigemi, Tsubasa Mishima, Yoshimasa Sakashita, Anh-Tuan Hoang, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2013-44 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
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 using Support Vector Machine (SVM) in CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification [1] is proposed for real-time processing of full high definition (Full HD) image (1920 x 1080 pixel). In addition, 2-step Identifier with SVM to realize a 3-class identification, which occupies small circuit area and achieves high accuracy, is proposed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Support Vector Machine (SVM) / Colorectal Endoscopic Images / Computer-Aided Diagnosis (CAD) / FPGA / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 282, CPSY2013-44, pp. 31-36, Nov. 2013. |
Paper # |
CPSY2013-44 |
Date of Issue |
2013-11-01 (CPSY) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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CPSY2013-44 |
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