Title :
Diabetic retina analyser
Author :
Casi, E. ; Ceravola, A. ; Cionini, R. ; Sperduti, A. ; Starita, A. ; Viti, S.
Author_Institution :
Dept. of Comput. Sci., Pisa Univ., Italy
fDate :
31 Oct-3 Nov 1996
Abstract :
A system able to simplify and to provide the automatic analysis of diabetic retinopathy is presented. The system stores and classifies the images of diabetic retinopathy allowing image filtering and pattern recognition, using classical A.I. methodology combined with neural networks. The system has a simple, friendly but powerful interface supporting the medical personnel in the diagnostic process. To automate this process is particularly important for the large number of patients and the frequency of analysis necessary for following the evolution of the pathology. The developed system is actually functioning at the Reference Regional Centre for Diabetes Mellitus of Tuscany in Italy
Keywords :
eye; image recognition; medical image processing; neural nets; photographic applications; vision defects; automatic image analysis system; classical AI methodology; diabetic retina analyser; image filtering; medical diagnostic imaging; neural networks; pathology evolution; simple friendly powerful interface; visual disease assessment; Biomedical imaging; Diabetes; Filtering; Frequency; Medical diagnostic imaging; Neural networks; Pattern recognition; Personnel; Retina; Retinopathy;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652740
