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» Active Volume Models for Medical Image Segmentation
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156
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ISBI
2008
IEEE
15 years 10 months ago
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
Radhouène Neji, Gilles Fleury, Jean Francoi...
137
Voted
CVPR
2005
IEEE
16 years 5 months ago
Space-Time Behavior Based Correlation
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...
Eli Shechtman, Michal Irani
111
Voted
BILDMED
2007
128views Algorithms» more  BILDMED 2007»
15 years 5 months ago
Network Snakes for the Segmentation of Adjacent Cells in Confocal Images
Network snakes constitute one of the latest advances in the research of image segmentation techniques: they integrate topology into active contour models. This concept is applied t...
Matthias Butenuth, Fritz Jetzek
147
Voted
CVPR
2008
IEEE
16 years 5 months ago
Fast texture segmentation model based on the shape operator and active contour
We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precis...
Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson
117
Voted
CBMS
2007
IEEE
15 years 10 months ago
Medical Knowledge Morphing via a Semantic Web Framework
Clinical decision-making involves an active interplay between various medical knowledge modalities. Medical knowledge morphing aims to support clinical decision support by mimicki...
Syed Sibte Raza Abidi, Sajjad Hussain