The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields

The aim of the study was to investigate the usefulness of processing visual field (VF) using a variational autoencoder (VAE). The training data consisted of 82,433 VFs from 16,836 eyes. Testing dataset 1 consisted of test-retest VFs from 104 eyes with open angle glaucoma. Testing dataset 2 was serie...

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Detalles Bibliográficos
Autores principales: Asaoka, Ryo, Murata, Hiroshi, Asano, Shotaro, Matsuura, Masato, Fujino, Yuri, Miki, Atsuya, Tanito, Masaki, Mizoue, Shiro, Mori, Kazuhiko, Suzuki, Katsuyoshi, Yamashita, Takehiro, Kashiwagi, Kenji, Shoji, Nobuyuki
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/PMC7217822/
https://www.ncbi.nlm.nih.gov/pubmed/32398783
http://dx.doi.org/10.1038/s41598-020-64869-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217822/
https://www.ncbi.nlm.nih.gov/pubmed/32398783
http://dx.doi.org/10.1038/s41598-020-64869-6

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