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

Saved in:
Bibliographic Details
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
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first