Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets

INTRODUCTION: The purpose of this study was to determine whether data preprocessing and augmentation could improve visual field (VF) prediction of recurrent neural network (RNN) with multi-central datasets. METHODS: This retrospective study collected data from five glaucoma services between June 200...

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Detalles Bibliográficos
Autores principales: Park, Jeong Rye, Kim, Sangil, Kim, Taehyeong, Jin, Sang Wook, Kim, Jung Lim, Shin, Jonghoon, Lee, Seung Uk, Jang, Geunsoo, Hu, Yuanmeng, Lee, Ji Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357387/
https://www.ncbi.nlm.nih.gov/pubmed/37231880
http://dx.doi.org/10.1159/000531144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357387/
https://www.ncbi.nlm.nih.gov/pubmed/37231880
http://dx.doi.org/10.1159/000531144

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