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» Associative Classifiers for Medical Images
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IPAS
2008
13 years 8 months ago
Multivariate mathematical morphology and Bayesian classifier application to colour and medical images
Multivariate images are now commonly produced in many applications. If their process is possible due to computers power and new programming languages, theoretical difficulties hav...
Arnaud Garcia, Corinne Vachier, Jean-Paul Vall&eac...
MICCAI
2005
Springer
14 years 6 months ago
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
CLEF
2007
Springer
13 years 12 months ago
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
Sara Lana-Serrano, Julio Villena-Román, Jos...
CLEF
2008
Springer
13 years 7 months ago
Baseline Results for the ImageCLEF 2008 Medical Automatic Annotation Task in Comparison over the Years
Abstract. This work reports baseline results for the CLEF 2008 Medical Automatic Annotation Task (MAAT) by applying a classifier with a fixed parameter set to all tasks 2005
Mark Oliver Güld, Petra Welter, Thomas Martin...
PRL
2008
147views more  PRL 2008»
13 years 5 months ago
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ...
Thomas Deselaers, Hermann Ney