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On Classifying Diabetic Patients’ with Proliferative Retinopathies via a Radial Basis Probabilistic Neural Network

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Advanced Intelligent Computing Theories and Applications (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

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Abstract

Diabetic retinopathies have to be detected early and treated to avoid serious damages to patients’ retina. A severe progress of diabetes can deteriorate human vision and the effects of a Proliferative Diabetic Retinopathy (PDR) could appear in fundus images, showing a neovascularization that can rise abruptly. Until now only some network models for classifying presence/absence of PDR have been faced by means of PNNs or SVMs. In this paper a first approach to follow diabetic patients affected by early PDR via a novel neural classifier based on a Fundus Image Preprocessing Subsystem and a Radial Basis Probabilistic Neural Network (RBPNN) is presented. The proposed classifier aims at classifying a certain number of diabetic patients by means of their accurately preprocessed digital fundus images and could support their follow-up paths in alerting if variations in retinal vasculature of classified PDR should occur.

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Acknowledgement

The authors’ acknowledgement goes to the financial support to this research given by the F.R.A. 2012 Fund - Technical University of Bari. Sincere thanks must be given to the student F. Digregorio for his useful contribution.

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Authors and Affiliations

  1. Department of Electrical and Information Engineering, Technical University of Bari, Bari, Italy

    Leonarda Carnimeo & Rosamaria Nitti

Authors
  1. Leonarda Carnimeo
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  2. Rosamaria Nitti
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Correspondence to Leonarda Carnimeo .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

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Carnimeo, L., Nitti, R. (2015). On Classifying Diabetic Patients’ with Proliferative Retinopathies via a Radial Basis Probabilistic Neural Network. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-22053-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

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