In this paper a contribution to diabetic damage detection in retinal images via a cellular neurofuzzy network is proposed. Fundus symptomatic pale regions are firstly highlighted by enhancing image contrast with a neurofuzzy subnet, which is synthesized using a Cellular Neural Network (CNN). After an optimal thresholding performed by a neural subsystem, obtained contrast-enhanced images with bimodal histograms are globally segmented. In output binary images, suspect diabetic areas are then isolated by a CNN-based subnet. Performances are evaluated by percentage measures of exactness in the detection of suspect damaged areas via a comparison with gold standard images provided by clinicians. Results are discussed and compared with other researcherspsila ones.
Diabetic Damage Detection in Retinal Images via a Cellular Neurofuzzy Network / Carnimeo, Leonarda; Giaquinto, A.. - (2006), pp. 138-141. (Intervento presentato al convegno Biomedical Circuits and Systems Conference Healthcare Technology, BioCAS 2006 tenutosi a London nel November 29 - December 1, 2006) [10.1109/BIOCAS.2006.4600327].
Diabetic Damage Detection in Retinal Images via a Cellular Neurofuzzy Network
CARNIMEO, Leonarda;
2006-01-01
Abstract
In this paper a contribution to diabetic damage detection in retinal images via a cellular neurofuzzy network is proposed. Fundus symptomatic pale regions are firstly highlighted by enhancing image contrast with a neurofuzzy subnet, which is synthesized using a Cellular Neural Network (CNN). After an optimal thresholding performed by a neural subsystem, obtained contrast-enhanced images with bimodal histograms are globally segmented. In output binary images, suspect diabetic areas are then isolated by a CNN-based subnet. Performances are evaluated by percentage measures of exactness in the detection of suspect damaged areas via a comparison with gold standard images provided by clinicians. Results are discussed and compared with other researcherspsila ones.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
