Visualizing the dynamic change of Ocular Response Analyzer waveform using Variational Autoencoder in association with the peripapillary retinal arteries angle

Visualizing the dynamic change of Ocular Response Analyzer waveform using Variational Autoencoder in association with the peripapillary retinal arteries angle

Abstract The aim of the current study is to identify possible new Ocular Response Analyzer (ORA) waveform parameters related to changes of retinal structure/deformation, as measured by the peripapillary retinal arteries angle (PRAA), using a generative deep learning method of variational autoencoder...

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Autores principales: Shotaro Asano, Ryo Asaoka, Takehiro Yamashita, Shuichiro Aoki, Masato Matsuura, Yuri Fujino, Hiroshi Murata, Shunsuke Nakakura, Yoshitaka Nakao, Yoshiaki Kiuchi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/3437b8342d7f412c9c26967ccf4a2816
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