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

Tomoaki Sonobe,Hitoshi Tabuchi,Hideharu Ohsugi,Hiroki Masumoto,Naohumi Ishitobi,Shoji Morita,Hiroki Enno,Daisuke Nagasato

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

2018

Tomoaki Sonobe
Hitoshi Tabuchi
Hideharu Ohsugi
Hiroki Masumoto
Naohumi Ishitobi
Shoji Morita
Hiroki Enno
Daisuke Nagasato

Purpose In this study, we compared deep learning (DL) with support vector machine (SVM), both of which use three-dimensional optical coherence tomography (3D-OCT) images for detecting epiretinal membrane (ERM).

Keywords:

Deep learning
Support vector machine
Computer vision
Epiretinal membrane
Optical coherence tomography
Surgery
Medicine
Artificial intelligence
Convolutional neural network
Confidence interval
Area under the curve
Pattern recognition
Test data

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