Computer Aided Design for Diabetic Retinopathy

6533b7cffe1ef96bd12595d8

RESEARCH PRODUCT

Computer Aided Design for Diabetic Retinopathy

Fabrice Meriaudeau Désiré Sidibé Kedir Adal Sharib Ali Luca Giancardo T.p. Karnowski Edward Chaum

subject

blob detection machine learning [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing retina imaging

description

International audience; Computer aided diagnosis and follow up can help in prevention and treatment of diabetes and its related complications. This paper presents a summary of the results we obtained over the last few years regarding the development of a CAD system for diabetic retinopathy. We present a methodology for diagnosis of DME based on exudates segmentation, as well as an automated detection of micro-aneurysm (MA) and DR diagnosis; Our approach uses standard available public database and shows a high power of generalization through cross database experiments.

year	journal	country	edition	language
2013-05-01

https://hal.archives-ouvertes.fr/hal-00831486

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