Presentation | 2018-07-24 Classification of Corneal Shape Images by Machine Learning Yuji Ayatsuka, Kazutaka Kamiya, Yudai Kato, Yusuke Kudo, Fusako Fujimura, Nobuyuki Shoji, Yosai Mori, Kazunori Miyata, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Keratoconus is one of an ophthalmic disease on a cornea, which brings thinning and deformation in the center of cornea and causes high myopia or astigmatism. Anterior segment optical coherence tomography (Anterior Segment OCT) is used to diagnose keratoconus including its stage. We applied machine learning to analyze images by anterior segment OCT. A resulted trained model, based on convolutional neural network, classified eyes of normal and grade 1 to 4 in Amsler-Krumeich classification with 85.3% accuracy. It also classified normal eyes and keratoconus eyes with 99.6% accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | keratoconus / Amsler-Krumeich classification / machine learning / anterior segment optical coherence tomography |
Paper # | MI2018-22 |
Date of Issue | 2018-07-17 (MI) |
Conference Information | |
Committee | MI |
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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 |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Classification of Corneal Shape Images by Machine Learning |
Sub Title (in English) | |
Keyword(1) | keratoconus |
Keyword(2) | Amsler-Krumeich classification |
Keyword(3) | machine learning |
Keyword(4) | anterior segment optical coherence tomography |
1st Author's Name | Yuji Ayatsuka |
1st Author's Affiliation | CRESCO LTD.(CRESCO) |
2nd Author's Name | Kazutaka Kamiya |
2nd Author's Affiliation | Kitasato University(Kitasato Univ.) |
3rd Author's Name | Yudai Kato |
3rd Author's Affiliation | CRESCO LTD.(CRESCO) |
4th Author's Name | Yusuke Kudo |
4th Author's Affiliation | CRESCO LTD.(CRESCO) |
5th Author's Name | Fusako Fujimura |
5th Author's Affiliation | Kitasato University(Kitasato Univ.) |
6th Author's Name | Nobuyuki Shoji |
6th Author's Affiliation | Kitasato University(Kitasato Univ.) |
7th Author's Name | Yosai Mori |
7th Author's Affiliation | Miyata Eye Hospital(Miyata Eye Hospital) |
8th Author's Name | Kazunori Miyata |
8th Author's Affiliation | Miyata Eye Hospital(Miyata Eye Hospital) |
Date | 2018-07-24 |
Paper # | MI2018-22 |
Volume (vol) | vol.118 |
Number (no) | MI-150 |
Page | pp.pp.5-8(MI), |
#Pages | 4 |
Date of Issue | 2018-07-17 (MI) |