Diagnosis of central serous chorioretinopathy by deep learning analysis of en face images of choroidal vasculature: A pilot study.
<h4>Purpose</h4>To diagnose central serous chorioretinopathy (CSC) by deep learning (DL) analyses of en face images of the choroidal vasculature obtained by optical coherence tomography (OCT) and to analyze the regions of interest for the DL from heatmaps.<h4>Methods</h4>One-...
Saved in:
Main Authors: | Yukihiro Aoyama, Ichiro Maruko, Taizo Kawano, Tatsuro Yokoyama, Yuki Ogawa, Ruka Maruko, Tomohiro Iida |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/b25e4df94a7e490aa1afc8c437d2e23d |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Visualizing large choroidal blood flow by subtraction of the choriocapillaris projection artifacts in swept source optical coherence tomography angiography in normal eyes
by: Ichiro Maruko, et al.
Published: (2018) -
Clinical features of pachyvessels associated with polypoidal choroidal vasculopathy in chronic central serous chorioretinopathy
by: Te-An Wang, et al.
Published: (2021) -
Transpupillary thermotherapy for atypical central serous chorioretinopathy
by: Kawamura R, et al.
Published: (2012) -
Central Serous Chorioretinopathy: Pathogenesis and Management
by: Semeraro F, et al.
Published: (2019) -
Pilot study of oral administration of a curcumin-phospholipid formulation for treatment of central serous chorioretinopathy
by: Mazzolani F
Published: (2012)