Now showing items 1-2 of 2

  • Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening. 

    Rahim, Sarni Suhaila; Jayne, Chrisina; Palade, Vasile; Shuttleworth, James (Springer https://doi.org/10.1007/s00521-015-1929-5, 2015-06-07)
    RAHIM, S.S., JAYNE, C., PALADE, V. and SHUTTLEWORTH, J. 2016. Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening. Neural computing and applications [online], 27(5), pages 1149-1164. Available from: https://doi.org/10.1007/s00521-015-1929-5.
    Regular eye screening is essential for the early detection and treatment of the diabetic retinopathy. This paper presents a novel automatic screening system for diabetic retinopathy that focuses on the detection of the ...
  • Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. 

    Rahim, Sarni Suhaila; Palade, Vasile; Shuttleworth, James; Jayne, Chrisina (Springer https://dx.doi.org/10.1007/s40708-016-0045-3, 2016-03-16)
    RAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], OnlineFirst. Available from: https://dx.doi.org/10.1007/s40708-016-0045-3
    Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases ...