Paper Abstract and Keywords |
Presentation |
2016-03-03 09:25
A Visual-Word Based Feature Transformation System in Computer Aided Diagnosis for Colorectal Endoscopic Images Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital), Shinji Tanaka (Hiroshima Univ.) MW2015-187 ICD2015-110 Link to ES Tech. Rep. Archives: MW2015-187 ICD2015-110 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes a feature transformation processing in our eCAD system for colorectal endoscopic Full HD images with Narrow Band Imaging (NBI) magnification. It transforms the extracted D-SIFT features from colorectal endoscopic images to Visual Word (VW) histogram. In order to real-time Computer-Aided Diagnosis by eCAD, it is necessary to implement the system on hardware. We designed feature transformation architecture for eCAD, implemented it on Field Programmable Gate Array (FPGA), and estimated the design. We also apply Hardware/Software co-design in our eCAD system implementation, in which feature extraction and type identification occur on Software and feature transformation occurs on Hardware. As a result, we achieved more throughput 1 fps was not possible with software implementation. Real-time CAD is achieved. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Full HD Image Recognition / Computer-Aided Diagnosis (CAD) / D-SIFT Feature / Visual Word / FPGA / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 477, ICD2015-110, pp. 79-84, March 2016. |
Paper # |
ICD2015-110 |
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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MW2015-187 ICD2015-110 Link to ES Tech. Rep. Archives: MW2015-187 ICD2015-110 |
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