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Reseach Article

A Survey on Deformable Model and its Applications to Medical Imaging

Published on None 2010 by Ravindra Hegadi, Arpana Kop, Mallikarjun Hangarge
Recent Trends in Image Processing and Pattern Recognition
Foundation of Computer Science USA
RTIPPR - Number 2
None 2010
Authors: Ravindra Hegadi, Arpana Kop, Mallikarjun Hangarge
f42f5a2d-b2e8-431a-aa5f-ba62b82b069e

Ravindra Hegadi, Arpana Kop, Mallikarjun Hangarge . A Survey on Deformable Model and its Applications to Medical Imaging. Recent Trends in Image Processing and Pattern Recognition. RTIPPR, 2 (None 2010), 64-75.

@article{
author = { Ravindra Hegadi, Arpana Kop, Mallikarjun Hangarge },
title = { A Survey on Deformable Model and its Applications to Medical Imaging },
journal = { Recent Trends in Image Processing and Pattern Recognition },
issue_date = { None 2010 },
volume = { RTIPPR },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 64-75 },
numpages = 12,
url = { /specialissues/rtippr/number2/978-101/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Recent Trends in Image Processing and Pattern Recognition
%A Ravindra Hegadi
%A Arpana Kop
%A Mallikarjun Hangarge
%T A Survey on Deformable Model and its Applications to Medical Imaging
%J Recent Trends in Image Processing and Pattern Recognition
%@ 0975-8887
%V RTIPPR
%N 2
%P 64-75
%D 2010
%I International Journal of Computer Applications
Abstract

Deformable models provide a promising and vigorously researched model-based approach to computer-assisted medical image analysis. The widely recognized potency of deformable models stems from their ability to segment, match, and track images of anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about the location, size, and shape of these structures. In this paper, a survey of deformable models and their latest extensions are presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Deformable models medical image segmentation active contours level sets GVF