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ARTMED
2004
145views more  ARTMED 2004»
13 years 7 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen
PAMI
2002
127views more  PAMI 2002»
13 years 7 months ago
Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation
The notion of fuzzy connectedness captures the idea of "hanging-togetherness" of image elements in an object by assigning a strength of connectedness to every possible pa...
Jayaram K. Udupa, Punam K. Saha, Roberto de Alenca...
ICCV
2001
IEEE
14 years 9 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
TITB
2008
106views more  TITB 2008»
13 years 7 months ago
A Novel Software Platform for Medical Image Processing and Analyzing
The design of software platform for medical imaging application has been increasingly prioritized as the sophisticated application of medical imaging. With this demand, we have des...
Jie Tian, Jian Xue, Yakang Dai, Jian Chen, Jian Zh...
ECCV
2004
Springer
14 years 25 days ago
Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials
Abstract. A novel method is proposed for performing multi-label, semi-automated image segmentation. Given a small number of pixels with user-defined labels, one can analytically (...
Leo Grady, Gareth Funka-Lea