Presentation | 2017-11-07 [Invited Talk] Application of Real-time Image Recognition System with Machine and Transfer Learnings to Computer-Aided Diagnosis for Endoscopic Images of Colorectal Cancer Tetsushi Koide, Toru Tamaki, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have developed a real-time computer-aided diagnosis systems for colorectal endoscopic images using machine, transfer, and deep learnings, and it learns clinical doctor’s the NBI magnification findings of colorectal endoscopic images. The developed system can be identified the colorectal endoscopic images either non-neoplastic or neoplastic lesions in real time. We can provide the several software / hardware solutions according to the clinical demands. The accuracy calculated for evaluating concordance between diagnosis by the system and the histological findings was 94.9% (112/118). Further, the concordance between the endoscopic diagnosis and diagnosis by the system was 97.5% (115/118) (κ=0.94).For the adenomatous histology of lesions (polyps) < 5 mm, the accuracy between the histological findings of diminutive colorectal lesions and the diagnosis by the system was 93.2% (82/88).The concordance between the endoscopic diagnosis and diagnosis by the system was 96,6% (85/88) (κ=0.93), and the agreement was excellent. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Diagnosis for Colorectal and Gastrointestinal Endoscopic Images / Computer-Aided Diagnosis (CAD) System / Real-Time Image Recognition / Machine Learning / Transfer Learning / Deep Learning / Navigation / Dedicated Hardware |
Paper # | CPSY2017-42 |
Date of Issue | 2017-10-31 (CPSY) |
Conference Information | |
Committee | VLD / DC / CPSY / RECONF / CPM / ICD / IE / IPSJ-SLDM / IPSJ-EMB / IPSJ-ARC |
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Conference Date | 2017/11/6(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kumamoto-Kenminkouryukan Parea |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Design Gaia 2017 -New Field of VLSI Design- |
Chair | Hiroyuki Ochi(Ritsumeikan Univ.) / Michiko Inoue(NAIST) / Koji Nakano(Hiroshima Univ.) / Masato Motomura(Hokkaido Univ.) / Fumihiko Hirose(Yamagata Univ.) / Hideto Hidaka(Renesas) / Takayuki Hamamoto(Tokyo Univ. of Science) / Kiyoharu Hamaguchi(Shimane Univ.) / 渡辺 晴美(東海大) / Masahiro Goshima(NII) |
Vice Chair | Noriyuki Minegishi(Mitsubishi Electric) / Satoshi Fukumoto(Tokyo Metropolitan Univ.) / Hidetsugu Irie(Univ. of Tokyo) / Takashi Miyoshi(Fujitsu) / Yuichiro Shibata(Nagasaki Univ.) / Kentaro Sano(Tohoku Univ.) / Mayumi Takeyama(Kitami Inst. of Tech.) / Makoto Nagata(Kobe Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) |
Secretary | Noriyuki Minegishi(Hiroshima City Univ.) / Satoshi Fukumoto(NTT) / Hidetsugu Irie(Kyoto Sangyo Univ.) / Takashi Miyoshi(Tokyo Inst. of Tech.) / Yuichiro Shibata(Utsunomiya Univ.) / Kentaro Sano(Hokkaido Univ.) / Mayumi Takeyama(Hiroshima City Univ.) / Makoto Nagata(e-trees.Japan) / Kazuya Kodama(Nihon Univ.) / Hideaki Kimata(Toyohashi Univ. of Tech.) / (Univ. of Tokyo) / (Panasonic) / (Nagoya Univ.) |
Assistant | / Masayuki Arai(Nihon Univ.) / Yasuaki Ito(Hiroshima Univ.) / Tomoaki Tsumura(Nagoya Inst. of Tech.) / Yuuki Kobayashi(NEC) / Hiroki Nakahara(Tokyo Inst. of Tech.) / Yuichi Akage(NTT) / Masanori Natsui(Tohoku Univ.) / Masatoshi Tsuge(Socionext) / Hiroyuki Ito(Tokyo Inst. of Tech.) / Pham Konkuha(Univ. of Electro-Comm.) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT) |
Paper Information | |
Registration To | Technical Committee on VLSI Design Technologies / Technical Committee on Dependable Computing / Technical Committee on Computer Systems / Technical Committee on Reconfigurable Systems / Technical Committee on Component Parts and Materials / Technical Committee on Integrated Circuits and Devices / Technical Committee on Image Engineering / Special Interest Group on System and LSI Design Methodology / Special Interest Group on Embedded Systems / Special Interest Group on System Architecture |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Invited Talk] Application of Real-time Image Recognition System with Machine and Transfer Learnings to Computer-Aided Diagnosis for Endoscopic Images of Colorectal Cancer |
Sub Title (in English) | |
Keyword(1) | Diagnosis for Colorectal and Gastrointestinal Endoscopic Images |
Keyword(2) | Computer-Aided Diagnosis (CAD) System |
Keyword(3) | Real-Time Image Recognition |
Keyword(4) | Machine Learning |
Keyword(5) | Transfer Learning |
Keyword(6) | Deep Learning |
Keyword(7) | Navigation |
Keyword(8) | Dedicated Hardware |
1st Author's Name | Tetsushi Koide |
1st Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
2nd Author's Name | Toru Tamaki |
2nd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
3rd Author's Name | Shigeto Yoshida |
3rd Author's Affiliation | Medical Corporation JR Hiroshima Hospital(Medical Corp. JR Hiroshima Hospital) |
4th Author's Name | Hiroshi Mieno |
4th Author's Affiliation | Medical Corporation JR Hiroshima Hospital(Medical Corp. JR Hiroshima Hospital) |
5th Author's Name | Shinji Tanaka |
5th Author's Affiliation | Hiroshima University Hospital(Hiroshima Univ. Hospital) |
Date | 2017-11-07 |
Paper # | CPSY2017-42 |
Volume (vol) | vol.117 |
Number (no) | CPSY-278 |
Page | pp.pp.19-19(CPSY), |
#Pages | 1 |
Date of Issue | 2017-10-31 (CPSY) |