Visual Field Prediction: Evaluating the Clinical Relevance of Deep Learning Models

PURPOSE: Two novel deep learning methods using a convolutional neural network (CNN) and a recurrent neural network (RNN) have recently been developed to forecast future visual fields (VFs). Although the original evaluations of these models focused on overall accuracy, it was not assessed whether the...

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Detalles Bibliográficos
Autores principales: Eslami, Mohammad, Kim, Julia A., Zhang, Miao, Boland, Michael V., Wang, Mengyu, Chang, Dolly S., Elze, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619031/
https://www.ncbi.nlm.nih.gov/pubmed/36325476
http://dx.doi.org/10.1016/j.xops.2022.100222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619031/
https://www.ncbi.nlm.nih.gov/pubmed/36325476
http://dx.doi.org/10.1016/j.xops.2022.100222

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