Abstract
We have proposed a method for detection of glomerulosclerosis in diabetic nephropathy using Contour-Based Segmentation. Pathological images of the glomerulosclerosis were acquired from various patients. It is a challenging task as 100% detection of Nephropathy disease with regular pathological procedure is not possible. We propose a solution to the problem of segmentation of the glomerulosclerosis images for the analysis of abnormalities. The proposed method is the modification of the original Chan-Vese algorithm, with the varied values of parameters. The proposed method achieved better segmentation and the results are encouraging.
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