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» Segmentation of medical images using a genetic algorithm
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CBMS
2006
IEEE
16 years 21 days ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
MIAR
2006
IEEE
16 years 19 days ago
Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization
Statistical shape modeling is widely used for medical image segmentation and interpretation. The main problem in building a shape model is the construction of a pointwise correspon...
Toon Huysmans, Jan Sijbers, Filiep Vanpoucke, Brig...
ISMDA
2005
Springer
16 years 4 days ago
Endocardial Tracking in Contrast Echocardiography Using Optical Flow
Myocardial Contrast Echocardiography (MCE) is a recent technique that allows to measure regional perfusion in the cardiac wall. Segmentation of MCE sequences would allow simultaneo...
Norberto Malpica, Juan Francisco Garamendi, Manuel...
DGCI
2006
Springer
15 years 10 months ago
A 3D Live-Wire Segmentation Method for Volume Images Using Haptic Interaction
Abstract. Designing interactive segmentation methods for digital volume images is difficult, mainly because efficient 3D interaction is much harder to achieve than interaction with...
Filip Malmberg, Erik Vidholm, Ingela Nyström
MIMI
2007
Springer
16 years 23 days ago
Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images
This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, us...
Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y. ...