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» Associative Classifiers for Medical Images
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MICCAI
2006
Springer
14 years 11 months ago
Automatic Detection and Segmentation of Ground Glass Opacity Nodules
Ground Glass Opacity (GGO) is defined as hazy increased attenuation within a lung that is not associated with obscured underlying vessels. Since pure (nonsolid) or mixed (partially...
Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, ...
CBMS
2007
IEEE
14 years 4 months ago
Region Based Segmentation and Classification of Multispectral Chromosome Images
Multiplex Fluorescent In Situ Hybridization (M-FISH) is a newly chromosome imaging technique where each chromosome class appears to have a distinct color. This technique although ...
Petros S. Karvelis, Dimitrios I. Fotiadis, Alexand...
IPMI
2003
Springer
14 years 11 months ago
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
Polina Golland, Bruce Fischl
BMVC
2010
13 years 8 months ago
Classifying Textile Designs using Region Graphs
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
Wei Jia, Stephen J. McKenna, Annette A. Ward, Keit...
CVPR
2009
IEEE
15 years 5 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...