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GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
14 years 2 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
ICPR
2010
IEEE
13 years 10 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
ICIP
2003
IEEE
15 years 15 days ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...
CMPB
2010
141views more  CMPB 2010»
13 years 11 months ago
Real-time segmentation by Active Geometric Functions
Recent advances in 4D imaging and real-time imaging provide image data with clinically important cardiac dynamic information at high spatial or temporal resolution. However, the en...
Qi Duan, Elsa D. Angelini, Andrew F. Laine
IPMI
2007
Springer
14 years 11 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III