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Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
Glaucoma detection in color fundus images is a challenging task that requires expertise and years of practice. In this study we exploited the application of different Convolutional Neural Networks (CNN) schemes to show the influence in the performance of relevant factors like the data set size, the...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6377910/ https://ncbi.nlm.nih.gov/pubmed/30800522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.000892 |
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