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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |