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Ophthalmologist-Level Classification of Fundus Disease With Deep Neural Networks
PURPOSE: To implement the classification of fundus diseases using deep convolutional neural networks (CNN), which is trained end-to-end from fundus images directly, the only input are pixels and disease labels, and the output is a probability distribution of a fundus image belonging to 18 fundus dis...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424930/ https://www.ncbi.nlm.nih.gov/pubmed/32855843 http://dx.doi.org/10.1167/tvst.9.2.39 |