Presentation | 2014-11-26 Visual-Word Feature Transformation Architecture for Computer-Aided Diagnosis using Colorectal Endoscopic Images with NBI Magnification Kouki SUGI, Tetsushi KOIDE, Anh-Tuan HOANG, Takumi OKAMOTO, Tatsuya SHIMIZU, Toru TAMAKI, Bisser Raytchev, Kazufumi KANEDA, Yoko KOMINAMI, Shigeto YOSHIDA, Shinji TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With the increase of colorectal cancer patients in recent years, the computer-aided diagnosis (CAD) system which supports doctor's diagnosis effectively in the diagnosis of colon cancer is required. Our research describe the support system for colorectal endoscopic images with narrow band imaging (NBI) magnification which identify the pathology type from local features in NBI endoscopic image. In order to meet the real time processing in which a full high definition (Full HD) endoscopic image must be identified within one second, the feature transformation which change feature quantity to VW histogram is implemented on hardware. For implementation on FPGA which has the resource limitations, we propose the architecture that uses Manhattan distance in class searching, and enables high speed processing by dynamic computation of normalization. As a result, it allows the feature transformation to complete its work in about 334 msec on the full HD image. More over, the architecture can improve the processing time to about 43 msec by pipelining. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Colorectal Endoscopic Images / Full HD / Computer-Aided Diagnosis (CAD) / NBI (Narrow Band Imaging) / Feature Transformation / Visual-Word (VW) / Manhattan distance / FPGA Hardware Implementation |
Paper # | VLD2014-77,DC2014-31 |
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Committee | DC |
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Conference Date | 2014/11/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Dependable Computing (DC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Visual-Word Feature Transformation Architecture for Computer-Aided Diagnosis using Colorectal Endoscopic Images with NBI Magnification |
Sub Title (in English) | |
Keyword(1) | Colorectal Endoscopic Images |
Keyword(2) | Full HD |
Keyword(3) | Computer-Aided Diagnosis (CAD) |
Keyword(4) | NBI (Narrow Band Imaging) |
Keyword(5) | Feature Transformation |
Keyword(6) | Visual-Word (VW) |
Keyword(7) | Manhattan distance |
Keyword(8) | FPGA Hardware Implementation |
1st Author's Name | Kouki SUGI |
1st Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University() |
2nd Author's Name | Tetsushi KOIDE |
2nd Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University |
3rd Author's Name | Anh-Tuan HOANG |
3rd Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University |
4th Author's Name | Takumi OKAMOTO |
4th Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University |
5th Author's Name | Tatsuya SHIMIZU |
5th Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University |
6th Author's Name | Toru TAMAKI |
6th Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University |
7th Author's Name | Bisser Raytchev |
7th Author's Affiliation | Graduate School of Engineering |
8th Author's Name | Kazufumi KANEDA |
8th Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University:Graduate School of Engineering |
9th Author's Name | Yoko KOMINAMI |
9th Author's Affiliation | Graduate School of Biomedical Sciences, Hiroshima University |
10th Author's Name | Shigeto YOSHIDA |
10th Author's Affiliation | Research Institute for Nanodevice and Bio System (RNBS), Hiroshima University:Graduate School of Biomedical Sciences, Hiroshima University |
11th Author's Name | Shinji TANAKA |
11th Author's Affiliation | Graduate School of Biomedical Sciences, Hiroshima University |
Date | 2014-11-26 |
Paper # | VLD2014-77,DC2014-31 |
Volume (vol) | vol.114 |
Number (no) | 329 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |