Automatic Segmentation of Choroid Layer Using Deep Learning on Spectral Domain Optical Coherence Tomography

Automatic Segmentation of Choroid Layer Using Deep Learning on Spectral Domain Optical Coherence Tomography

The purpose of this article is to evaluate the accuracy of the optical coherence tomography (OCT) measurement of choroidal thickness in healthy eyes using a deep-learning method with the Mask R-CNN model. Thirty EDI-OCT of thirty patients were enrolled. A mask region-based convolutional neural netwo...

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Bibliographic Details
Main Authors: Wei Ping Hsia, Siu Lun Tse, Chia Jen Chang, Yu Len Huang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
mask R-CNN
deep residual network
feature pyramid networks
deep-learning
choroidal thickness
subfoveal choroidal thickness
Online Access:https://www.mdpi.com/2076-3417/11/12/5488

Internet

https://www.mdpi.com/2076-3417/11/12/5488

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