Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering

Exudates are the primary sign of Diabetic Retinopathy. Early detection can potentially reduce the risk of blindness. An automatic method to detect exudates from low-contrast digital images of retinopathy patients with non-dilated pupils using a Fuzzy C-Means (FCM) clustering is proposed. Contrast en...

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Detalles Bibliográficos
Autores principales: Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332251/
https://www.ncbi.nlm.nih.gov/pubmed/22574005
http://dx.doi.org/10.3390/s90302148

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332251/
https://www.ncbi.nlm.nih.gov/pubmed/22574005
http://dx.doi.org/10.3390/s90302148

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