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ARTMED
2004
145views more  ARTMED 2004»
15 years 6 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
PR
2000
158views more  PR 2000»
15 years 6 months ago
Applying deformable templates for cell image segmentation
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
Antonio Garrido Carrillo, Nicolas Pérez de ...
TIP
1998
162views more  TIP 1998»
15 years 6 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
TMI
2002
107views more  TMI 2002»
15 years 6 months ago
Volumetric Segmentation of Brain Images Using Parallel Genetic Algorithms
Active model-based segmentation has frequently been used in medical image processing with considerable success. Although the active model-based method was initially viewed as an op...
Yong Fan, Tianzi Jiang, David J. Evans
MICCAI
2010
Springer
15 years 5 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...