Classification of retinopathy of prematurity using back propagation neural network
by Priya Rani; E.R. Rajkumar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 22, No. 4, 2016

Abstract: Retinopathy of Prematurity (ROP) is an ocular disease in premature infants and leads to blindness at its threshold stages. Thus, it should be diagnosed and treated at the right time to save the infants from permanent visual impairment. The aim of this work is to develop an efficient ROP stage detection tool. The work involves collection of ROP images, segmentation of features, as texture features, colour features and shape features, and finally feeding the features into the classifier to perform classification of the different stages. In this work, the classifier used is Back Propagation Neural Network (BPNN), and classification has been done into stages 3, 4 and 5 which mark the severity of the disease and call for immediate treatment. The results thus obtained are promising; hence, this work forms the basis for development of a semi-automated tool for the diagnosis of ROP.

Online publication date: Thu, 29-Dec-2016

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