Browsing by Author "Leandro, J.J.G."

Now showing items 1-4 of 4

  • Classification of pathology in diabetic eye disease

    Jelinek, H.F.; Leandro, J.J.G.; Cesar, R.M., Jr.; Cree, Michael J. (The University of Queensland, 2005)
    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 ...
  • Comparison of various methods to delineate blood vessels in retinal images

    Cree, Michael J.; Leandro, J.J.G.; Soares, J.V.B.; Cesar, R.M., Jr.; Tang, G.; Jelinek, H.F.; Cornforth, D.J. (Australian Institute of Physics, 2005)
    The blood vessels in the human retina are easily visualisable via digital fundus photography and provide an excellent window to the health of a patient affected by diseases of blood circulation such as diabetes. Diabetic ...
  • Development of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy

    Cornforth, D.J.; Jelinek, Herbert J.; Leandro, J.J.G.; Soares, J.V.B.; Cesar, R.M., Jr.; Cree, Michael J.; Mitchell, P.; Bossomaier, T. (2005)
    Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel diameter and patterns in the retina. This paper describes the development of segmentation ...
  • Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification

    Soares, J.V.B.; Leandro, J.J.G.; Cesar, R.M., Jr.; Jelinek, H.F.; Cree, Michael J. (I E E E, 2006-09)
    We present a method for automated segmentation of the vasculature in retinal images. The method produces segmentations by classifying each image pixel as vessel or nonvessel, based on the pixel's feature vector. Feature ...