01518nam a2200157Ia 4500 231221s9999 xx 000 0 und d English PESIT/IS Raghu Raj P. Gurudatha Pai K. Shylaja, S. S. Algorithmic Approach for Prediction and Early Detection of Diseases Using Retinal Images [e resource : article] 2007 IEEE computer society USA 501-505 Article published in the Proceedings on Computer Graphics, Imaging and Visualisation - New Advances - held in Bangkok, Thailand 14, 15-17 August 2007 edited by Ebad Banissi, Muhammad Sarfraz and Natasha Dejdumrong pp 501 - 505 The Fundus images of retina of human eye can provide valuable information about human health and open up a window of unforeseeable opportunities. In this respect, one can systematically assesses digital retinal photographs, to predict chronic diseases. This eliminates the need for manual assessment of ophthalmic images in diagnostic practices. It is also possible to detect certain type of cancers and cataract in their early stages in addition to diseases like hypertension, stroke and serious organ ma functioning in diabetic patients. 777e facility to maintain a database of the retinal photographs and associated data of any patient, taken on a regular basis, scrutinized for the prediction of the diseases may easily be incorporated. Object detection, Image segmentation,bottom hat transformation,Photography DL 204886 204886 2024-01-26 00:00:00 0 PESIT/IS DL1013 digital/articles/is/dl1013.pdf 2024-01-26 DL 0 0 0 IS 0 ML ML CL 0000-00-00 IS 22/02/2010 RS 1 0 0