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

页码：244 / 249

页数：6

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