Title :
Classification of diabetic retinopathy lesions from stereoscopic fundus images
Author :
Nguyen, Hung ; Roychoudhry, Anil ; Shannon, Anthony
Author_Institution :
Sydney Univ., NSW, Australia
fDate :
30 Oct-2 Nov 1997
Abstract :
Classification of the severity of diabetic retinopathy (DR) is vital for determining appropriate therapies for this frequent complication of diabetes. The purpose of this study is develop an automated system to help with the classification of some diabetic retinopathy lesions in stereoscopic fundus images. The system is used in particular to distinguish drusen from hard exudates (DR lesions), and to evaluate the severity of lesions such as retinal oedema
Keywords :
diseases; eye; image classification; medical image processing; photographic applications; vision defects; diabetic complication; diabetic retinopathy lesions classification; drusen; hard exudates; lesions severity evaluation; medical diagnostic imaging; retinal oedema; stereo photography; stereoscopic fundus images; Appropriate technology; Australia; Cameras; Diabetes; Hemorrhaging; Lesions; Medical treatment; Pigmentation; Retina; Retinopathy;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.754569
