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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Publicado no:Sci Rep
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7217822/
https://ncbi.nlm.nih.gov/pubmed/32398783
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-64869-6
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