Presentation 2019-09-05
Mixed Domain Learning for Computer-aided Diagnosis of Endoscopy Images in Deep Convolutional Neural Networks
Yuta Kochi, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # PRMU2019-30,MI2019-49
Date of Issue 2019-08-28 (PRMU, MI)

Conference Information
Committee PRMU / MI / IPSJ-CVIM
Conference Date 2019/9/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Chair Yoichi Sato(Univ. of Tokyo) / Yoshiki Kawata(Tokushima Univ.)
Vice Chair Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.)
Secretary Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX) / Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo)
Assistant Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.) / Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Medical Imaging / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mixed Domain Learning for Computer-aided Diagnosis of Endoscopy Images in Deep Convolutional Neural Networks
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
1st Author's Name Yuta Kochi
1st Author's Affiliation Tsukuba University/National Institute of Advanced Industrial Science and Technology(Tsukuba Univ./AIST)
2nd Author's Name Hirokazu Nosato
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
3rd Author's Name Masahiro Murakawa
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
4th Author's Name Hidenori Sakanashi
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
Date 2019-09-05
Paper # PRMU2019-30,MI2019-49
Volume (vol) vol.119
Number (no) PRMU-192,MI-193
Page pp.pp.135-138(PRMU), pp.135-138(MI),
#Pages 4
Date of Issue 2019-08-28 (PRMU, MI)