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Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
BACKGROUND: Convolution neural networks have been considered for automatic analysis of fundus images to detect signs of diabetic retinopathy but suffer from low sensitivity. METHODS: This study has proposed an alternate method using probabilistic output from Convolution neural network to automatical...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219077/ https://www.ncbi.nlm.nih.gov/pubmed/30400869 http://dx.doi.org/10.1186/s12886-018-0954-4 |