Presentation 2020-01-29
Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction
Kazuki Nagai, Megumi Nakao, Nobuhiro Ueda, Yuichiro Imai, Tadaaki Kirita, Tetsuya Matsuda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) As implicit medical knowledge and experience are used to perform medical treatment, clarification of decision making is important for systematization of surgical procedures. We propose an extraction algorithm of low dimensional features which are important for determining the number of fibular segments in mandibular reconstruction by enumeration of Lasso solutions. To perform multi-class classification, we extend enumeration of Lasso solutions by using the evaluation function that indexes the contribution of the extracted features. Experiments showed that the extracted 7-dimensional features have the same estimation performance as using all 49-dimensional features.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Enumeration of Lasso solutions / Feature extraction / Multi-class classification / Mandibular reconstruction
Paper # MI2019-70
Date of Issue 2020-01-22 (MI)

Conference Information
Committee MI
Conference Date 2020/1/29(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OKINAWAKEN SEINENKAIKAN
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc.
Chair Yoshiki Kawata(Tokushima Univ.)
Vice Chair Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.)
Secretary Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo)
Assistant Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST)

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) Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction
Sub Title (in English)
Keyword(1) Enumeration of Lasso solutions
Keyword(2) Feature extraction
Keyword(3) Multi-class classification
Keyword(4) Mandibular reconstruction
1st Author's Name Kazuki Nagai
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Megumi Nakao
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Nobuhiro Ueda
3rd Author's Affiliation Nara Medical University(Nara Medical Univ.)
4th Author's Name Yuichiro Imai
4th Author's Affiliation Rakuwakai Otowa Hospital(Rakuwakai Otowa Hospital)
5th Author's Name Tadaaki Kirita
5th Author's Affiliation Nara Medical University(Nara Medical Univ.)
6th Author's Name Tetsuya Matsuda
6th Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2020-01-29
Paper # MI2019-70
Volume (vol) vol.119
Number (no) MI-399
Page pp.pp.23-28(MI),
#Pages 6
Date of Issue 2020-01-22 (MI)