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      Classification of pathology in diabetic eye disease

      Jelinek, H.F.; Leandro, J.J.G.; Cesar, R.M., Jr.; Cree, Michael J.
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      classification of pathology in diabetic eye disease.pdf
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       www.aprs.org.au
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      Jelinek, H. F., Leandro, J., Cesar, R. M. & Cree, M. J. (2005). Classification of pathology in diabetic eye disease. In B. C. Lovell & A. J. Maeder(eds), WDIC 2005, APRS Workshop on digital image computing, The University of Queensland, Brisbane, Australia, 21 February, 2005(pp. 9-13).
      Permanent Research Commons link: https://hdl.handle.net/10289/2922
      Abstract
      Proliferative diabetic retinopathy is a complication of diabetes that can eventually lead to blindness. Early identification of this complication reduces the risk of blindness by initiating timely treatment. We report the utility of pattern analysis tools linked with a simple linear discriminant analysis that not only identifies new vessel growth in the retinal fundus but also localises the area of pathology. Ten fluorescein images were analysed using seven feature descriptors including area, perimeter, circularity, curvature, entropy, wavelet second moment and the correlation dimension. Our results indicate that traditional features such as area or perimeter measures of neovascularisation associated with proliferative retinopathy were not sensitive enough to detect early proliferative retinopathy (SNR = 0.76, 0.75 respectively). The wavelet second moment provided the best discrimination with a SNR of 1.17. Combining second moment, curvature and global correlation dimension provided a 100% discrimination (SNR = 1).
      Date
      2005
      Type
      Conference Contribution
      Publisher
      The University of Queensland
      Collections
      • Science and Engineering Papers [3124]
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