Detection of Glomerulosclerosis in Diabetic Nephropathy Using Contour-Based Segmentation

被引：3
|
作者：
Ravi, M. [1 ]
Hegadi, Ravindra S. [2 ]
机构：
[1] Bharathiar Univ, Ctr Res & Dev, Coimbatore 641046, Tamil Nadu, India
[2] Solapur Univ, Dept Comp Sci, Solapur 413255, Maharashtra, India
来源：
INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING TECHNOLOGIES AND APPLICATIONS (ICACTA) | 2015年 / 45卷
关键词：
Detection; Nephropathy; Active contour; Glomerulosclerosis and Segmentation; ACTIVE CONTOURS; EDGES;
D O I：
10.1016/j.procs.2015.03.129
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：244 / 249
页数：6
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