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» Segmentation of medical images using a genetic algorithm
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ICIP
2005
IEEE
16 years 1 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
ICPR
2008
IEEE
15 years 6 months ago
A novel automatic seed point selection algorithm for breast ultrasound images
Region growing is a frequently used segmentation method for medical ultrasound images processing. The first step of region growing is selecting the seed point which is inside the ...
Juan Shan, Heng-Da Cheng, Yuxuan Wang
ICCTA
2007
IEEE
15 years 6 months ago
Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm
During MR imaging, the image of the object may get deformed due to the slope between the MR probe and the object. It is in general undesirable, particularly for 3D imaging. In thi...
Pradipta Maji, Bhabatosh Chanda, Malay Kumar Kundu...
AAAI
1998
15 years 1 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
ECCV
2008
Springer
16 years 1 months ago
Prior-Based Piecewise-Smooth Segmentation by Template Competitive Deformation Using Partitions of Unity
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transf...
Benoit Mory, Laurent D. Cohen, Oudom Somphone, Sh&...