Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model

Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model

Abstract We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and spectral domain-optical coherence tomograph...

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Bibliographic Details
Main Authors: Jinho Lee, Young Kook Kim, Ahnul Ha, Sukkyu Sun, Yong Woo Kim, Jin-Soo Kim, Jin Wook Jeoung, Ki Ho Park
Format: Article
Language:English
Published: Nature Publishing Group 2020-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-60277-y

Internet

https://doi.org/10.1038/s41598-020-60277-y

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