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...

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Detalles Bibliográficos
Autores principales: Khojasteh, Parham, Aliahmad, Behzad, Kumar, Dinesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
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

Internet

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

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