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» Associative Classifiers for Medical Images
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MICCAI
2008
Springer
14 years 11 months ago
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
Vikas Singh, Lopamudra Mukherjee, Moo K. Chung
NIPS
2008
13 years 11 months ago
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
Tae-Kyun Kim, Roberto Cipolla
MICCAI
2007
Springer
14 years 4 months ago
A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens
Motivated by the current limitations of automated quantitative image analysis in discriminating among intracellular immunohistochemical (IHC) staining patterns, this paper presents...
Bonnie Hall, Wenjin Chen, Michael Reiss, David J. ...
ISBI
2011
IEEE
13 years 1 months ago
Reliable cell tracking by global data association
Automated cell tracking in populations is important for research and discovery in biology and medicine. In this paper, we propose a cell tracking method based on global spatiotemp...
Ryoma Bise, Zhaozheng Yin, Takeo Kanade
ISBI
2004
IEEE
14 years 10 months ago
Qualitative Asymmetry Measure for Melanoma Detection
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. ...
Michele d'Amico, Massimo Ferri, Ignazio Stanganell...