Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

PURPOSE: To investigate whether a correction based on a Humphrey field analyzer (HFA) 24-2/30-2 visual field (VF) can improve the prediction performance of a deep learning model to predict the HFA 10-2 VF test from macular optical coherence tomography (OCT) measurements. METHODS: This is a multicent...

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Detalles Bibliográficos
Autores principales: Hashimoto, Yohei, Kiwaki, Taichi, Sugiura, Hiroki, Asano, Shotaro, Murata, Hiroshi, Fujino, Yuri, Matsuura, Masato, Miki, Atsuya, Mori, Kazuhiko, Ikeda, Yoko, Kanamoto, Takashi, Yamagami, Junkichi, Inoue, Kenji, Tanito, Masaki, Yamanishi, Kenji, Asaoka, Ryo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626848/
https://www.ncbi.nlm.nih.gov/pubmed/34812893
http://dx.doi.org/10.1167/tvst.10.13.28

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626848/
https://www.ncbi.nlm.nih.gov/pubmed/34812893
http://dx.doi.org/10.1167/tvst.10.13.28

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