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Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.

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Title: Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.
Authors: Sonobe T; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan. t.sonobe@tsukazaki-eye.net., Tabuchi H; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan., Ohsugi H; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan., Masumoto H; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan., Ishitobi N; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan., Morita S; Research Group of Intelligent Cybernetics and Computer Science Graduate School of Engineering, University of Hyogo, Himeji, Japan., Enno H; Rist Inc, Tokyo, Japan., Nagasato D; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.
Source: International ophthalmology [Int Ophthalmol] 2019 Aug; Vol. 39 (8), pp. 1871-1877. Date of Electronic Publication: 2018 Sep 14.
Publication Type: Comparative Study; Journal Article
Journal Info: Publisher: Kluwer Country of Publication: Netherlands NLM ID: 7904294 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2630 (Electronic) Linking ISSN: 01655701 NLM ISO Abbreviation: Int Ophthalmol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.
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  Data: <searchLink fieldCode="AU" term="%22Sonobe+T%22">Sonobe T</searchLink>; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan. t.sonobe@tsukazaki-eye.net.<br /><searchLink fieldCode="AU" term="%22Tabuchi+H%22">Tabuchi H</searchLink>; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Ohsugi+H%22">Ohsugi H</searchLink>; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Masumoto+H%22">Masumoto H</searchLink>; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Ishitobi+N%22">Ishitobi N</searchLink>; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.<br /><searchLink fieldCode="AU" term="%22Morita+S%22">Morita S</searchLink>; Research Group of Intelligent Cybernetics and Computer Science Graduate School of Engineering, University of Hyogo, Himeji, Japan.<br /><searchLink fieldCode="AU" term="%22Enno+H%22">Enno H</searchLink>; Rist Inc, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Nagasato+D%22">Nagasato D</searchLink>; Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.
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  Data: <searchLink fieldCode="JN" term="%227904294%22">International ophthalmology</searchLink> [Int Ophthalmol] 2019 Aug; Vol. 39 (8), pp. 1871-1877. <i>Date of Electronic Publication: </i>2018 Sep 14.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer%22">Kluwer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7904294 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2630 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201655701%22">01655701 </searchLink><i>NLM ISO Abbreviation: </i>Int Ophthalmol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10792-018-1016-x
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        Text: English
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      – TitleFull: Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.
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              Text: 2019 Aug
              Type: published
              Y: 2019
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