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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by using computer-aided diagnosis from fundus image has emerged as a new method. We applied deep learning convolutional neural network by using MatConvNet for an automated detection of multiple retinal d...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5667846/ https://ncbi.nlm.nih.gov/pubmed/29095872 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0187336 |
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