Presentation 2018-07-24
Polyp Classification Using CNN Features from Three Kinds of Endoscope Images
Yuji Iwahori, Yuji Iwahori, Hiroyasu Usami, Naotaka Ogasawara, Kunio Kasugai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a polyp classification approach using three kinds of endoscope images. Transfer learning is applied from CNN which extracts features and SVM is used to classify the benign or malignant. Sevenkinds of CNNs and SVMs are used for the classification using the features extracted from the corresponding CNN according to the combination of three kinds of images. Voting processing is applied to judge the final classification result from each SVM classifier. It is confirmed that proposed approach has an advantage for the classification accuracy of polyp in comparison with the combination of endoscope images and its voting processing.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Polyp Classification / Endoscope Image / Voting Processing / CNN / SVM
Paper # MI2018-27
Date of Issue 2018-07-17 (MI)

Conference Information
Committee MI
Conference Date 2018/7/24(1days)
Place (in Japanese) (See Japanese page)
Place (in English) aiina (Morioka, Iwate)
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical Imaging, etc.
Chair Kensaku Mori(Nagoya Univ.)
Vice Chair Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.)
Assistant Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Polyp Classification Using CNN Features from Three Kinds of Endoscope Images
Sub Title (in English)
Keyword(1) Polyp Classification
Keyword(2) Endoscope Image
Keyword(3) Voting Processing
Keyword(4) CNN
Keyword(5) SVM
1st Author's Name Yuji Iwahori
1st Author's Affiliation Chubu University(Chubu Univ.)
2nd Author's Name Yuji Iwahori
2nd Author's Affiliation Chubu University(Chubu Univ.)
3rd Author's Name Hiroyasu Usami
3rd Author's Affiliation Chubu University(Chubu Univ.)
4th Author's Name Naotaka Ogasawara
4th Author's Affiliation Aichi Medical University(Aichi Med. Univ.)
5th Author's Name Kunio Kasugai
5th Author's Affiliation Aichi Medical University(Aichi Med. Univ.)
Date 2018-07-24
Paper # MI2018-27
Volume (vol) vol.118
Number (no) MI-150
Page pp.pp.25-32(MI),
#Pages 8
Date of Issue 2018-07-17 (MI)