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

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 tomography (SD-OCT...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jinho, Kim, Young Kook, Ha, Ahnul, Sun, Sukkyu, Kim, Yong Woo, Kim, Jin-Soo, Jeoung, Jin Wook, Park, Ki Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039950/
https://www.ncbi.nlm.nih.gov/pubmed/32094401
http://dx.doi.org/10.1038/s41598-020-60277-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039950/
https://www.ncbi.nlm.nih.gov/pubmed/32094401
http://dx.doi.org/10.1038/s41598-020-60277-y

Ejemplares similares