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Forecasting future Humphrey Visual Fields using deep learning
PURPOSE: To determine if deep learning networks could be trained to forecast future 24–2 Humphrey Visual Fields (HVFs). METHODS: All data points from consecutive 24–2 HVFs from 1998 to 2018 were extracted from a university database. Ten-fold cross validation with a held out test set was used to deve...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6450620/ https://ncbi.nlm.nih.gov/pubmed/30951547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214875 |
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