Paper Abstract and Keywords |
Presentation |
2016-03-03 09:00
A High-speed Feature Extraction System in Computer Aided Diagnosis for Colorectal Endoscopic Images Tatsuya Shimizu, Tetsushi Koide, Anh-Tuan Hoang, Koki Sugi, Takumi Okamoto, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazuhumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima Univ.) MW2015-186 ICD2015-109 Link to ES Tech. Rep. Archives: MW2015-186 ICD2015-109 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper aims to build a Computer-Aided Diagnosis (CAD) system for pathology identification based on feature of fine vascular patterns of the large intestine mucosa surface obtained by colorectal endoscopic images with narrow band imaging (NBI) magnification. In order to achieve real-time recognition, implementation of CAD system on FPGA is necessary. This paper introduces a suitable feature extraction implementation on FPGA, which can process 48 fps@100MHz, with latency 20 msec/frame. In addition, this paper also shows detection method of overexposure area presented on endoscopic image, as well as the correction processing for feature extraction, which prevent mistake in type identification for CAD system. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Full-HD Image Recognition / Computer-Aided Diagnosis (CAD) / D-SIFT Feature Extraction / FPGA / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 477, ICD2015-109, pp. 73-78, March 2016. |
Paper # |
ICD2015-109 |
Date of Issue |
2016-02-24 (MW, ICD) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MW2015-186 ICD2015-109 Link to ES Tech. Rep. Archives: MW2015-186 ICD2015-109 |
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