Presentation | 2018-03-13 Application of U-Net to spine image extraction in CT image Mikoto Kamata, Masayuki Kikuchi, Hayaru Shouno, Isao Hayashi, Kunihiko Fukushima, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, we aimed at automatic extraction of spinal parts in CT images using deep learning as a foothold for automatically generating 3D mesh model of spine from CT image of patient. We used 10 spinal data which were learned and tested on U-Net for the segmentation of spine region. The percentage of correct answers that the learned spine was tested was 98.5%, and the similarity between teacher image and segmented spine image measure by Dice coefficient of having tested the unedited spinal column was 82.7%. In order to improve this similarity value, it will be effective to adjust the parameters of U-Net and to conduct 3D learning as well. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | U-Net / Medical image processing / segmentation |
Paper # | NC2017-81 |
Date of Issue | 2018-03-06 (NC) |
Conference Information | |
Committee | MBE / NC |
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Conference Date | 2018/3/13(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | ME, general |
Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) |
Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) |
Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) |
Paper Information | |
Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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Language | JPN-ONLY |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Application of U-Net to spine image extraction in CT image |
Sub Title (in English) | |
Keyword(1) | U-Net |
Keyword(2) | Medical image processing |
Keyword(3) | segmentation |
1st Author's Name | Mikoto Kamata |
1st Author's Affiliation | Tokyo University of Technology(Tokyo Univ.of Tech.) |
2nd Author's Name | Masayuki Kikuchi |
2nd Author's Affiliation | Tokyo University of Technology(Tokyo Univ.of Tech.) |
3rd Author's Name | Hayaru Shouno |
3rd Author's Affiliation | University of Electro-Communications(Univ. of Electro-Communications.) |
4th Author's Name | Isao Hayashi |
4th Author's Affiliation | Kansai University(Kansai Univ.) |
5th Author's Name | Kunihiko Fukushima |
5th Author's Affiliation | Fuzzy Logic Systems Institute(Fuzzy Logic Systems Inst.) |
Date | 2018-03-13 |
Paper # | NC2017-81 |
Volume (vol) | vol.117 |
Number (no) | NC-508 |
Page | pp.pp.81-84(NC), |
#Pages | 4 |
Date of Issue | 2018-03-06 (NC) |