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An Intelligent Approach to Detect Hard and Soft Exudates Using Echo State Neural Network

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Author(s): C. Jayakumari | T. Santhanam

Journal: Information Technology Journal
ISSN 1812-5638

Volume: 7;
Issue: 2;
Start page: 386;
Date: 2008;
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Keywords: Echo state neural network | contextual clustering | energy minimization | recurrent neural network | diabetic retinopathy | hard exudates | soft exudates

ABSTRACT
A novel technique of intelligent segmentation and classification of exudates for diabetic retinopathy by applying energy minimization method using a recurrent neural network that is an Echo State Neural Network (ESNN) which, yields highly satisfactory results when compared with that of an existing contextual clustering segmentation (CC) is explored in this study. The modular neural network is trained using a set of 30 images consisting of 5 normal images and 25 abnormal images. The trained system has been tested with 5 normal and 20 abnormal images and is found to acquire satisfactory results with 90% (18/20) sensitivity.

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