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» Using SPM to Detect Evolving MS Lesions
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ICIP
2002
IEEE
13 years 11 months ago
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images
A novel approach to the detection of multiple sclerosis (MS) lesions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels ...
Daniele Peri, Edoardo Ardizzone, Roberto Pirrone, ...
ICIAP
2003
ACM
14 years 6 months ago
Automatic segmentation of MR images based on adaptive anisotropic filtering
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino
IPMI
2005
Springer
14 years 6 months ago
A Novel Parametric Method for Non-rigid Image Registration
This paper presents a novel non-rigid registration method. The main contribution of the method is the modeling of the vorticity (respectively divergence) of the deformation field u...
Anne Cuzol, Pierre Hellier, Étienne M&eacut...
IDEAL
2005
Springer
13 years 11 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan
CEC
2007
IEEE
14 years 9 days ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay