Presentation 2018-03-19
Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images
Hayato Itoh, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time diagnosis in colonoscopy. However, much pathological knowledge and clinical experiences are required for this diagnosis. The computer-aided diagnosis (CAD) system that decreases overlooking of neoplastic polyps in endocytoscopy is required. Texture-feature-based classification between neoplastic and non-neoplastic images of polyps has been proposed towards the construction of the CAD system. Extracted texture feature includes worthless elements that do not contribute to classification. This worthless elements can lead classification errors. We propose feature-selection method that selects discriminative feature for two-categories classification by omitting worthless feature of texture features. We experimentally evaluated the proposed method by comparing the classification accuracy between before and after feature selection with about 19,000 endocytoscopic images. The experimental results show that our proposed method gives 2.4% higher accuracy than original texture feature.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) endocytoscopy / automated pathological diagnosis / feature selection / texture feature / manifold learning
Paper # MI2017-81
Date of Issue 2018-03-12 (MI)

Conference Information
Committee SIP / EA / SP / MI
Conference Date 2018/3/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI]
Chair Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.)
Vice Chair Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.)
Assistant Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images
Sub Title (in English)
Keyword(1) endocytoscopy
Keyword(2) automated pathological diagnosis
Keyword(3) feature selection
Keyword(4) texture feature
Keyword(5) manifold learning
1st Author's Name Hayato Itoh
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Yuichi Mori
2nd Author's Affiliation Showa University Northern Yokohama Hospital(Showa Univ.)
3rd Author's Name Masashi Misawa
3rd Author's Affiliation Showa University Northern Yokohama Hospital(Showa Univ.)
4th Author's Name Masahiro Oda
4th Author's Affiliation Nagoya University(Nagoya Univ.)
5th Author's Name Shin-ei Kudo
5th Author's Affiliation Showa University Northern Yokohama Hospital(Showa Univ.)
6th Author's Name Kensaku Mori
6th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2018-03-19
Paper # MI2017-81
Volume (vol) vol.117
Number (no) MI-518
Page pp.pp.51-56(MI),
#Pages 6
Date of Issue 2018-03-12 (MI)