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» Associative Classifiers for Medical Images
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MIMI
2007
Springer
14 years 3 months ago
New Doppler-Based Imaging Method in Echocardiography with Applications in Blood/Tissue Segmentation
Abstract. Knowledge Based Imaging is suggested as a method to distinguish blood from tissue signal in transthoracial echocardiography. Parametric model for the autocorrelation func...
Sigve Hovda, Håvard Rue, Bjørn Olstad
MICCAI
2006
Springer
14 years 10 months ago
A Comparison of Breast Tissue Classification Techniques
It is widely accepted in the medical community that breast tissue density is an important risk factor for the development of breast cancer. Thus, the development of reliable automa...
Arnau Oliver, Jordi Freixenet, Robert Marti, Reyer...
CBMS
2007
IEEE
14 years 3 months ago
Text Categorization for Multi-label Documents and Many Categories
In this paper, we propose a new classification method that addresses classification in multiple categories of textual documents. We call it Matrix Regression (MR) due to its resem...
Iulian Sandu Popa, Karine Zeitouni, Georges Gardar...
DRR
2009
13 years 6 months ago
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters
We investigate in this paper the combination of DBN (Dynamic Bayesian Network) classifiers, either independent or coupled, for the recognition of degraded characters. The independ...
Laurence Likforman-Sulem, Marc Sigelle
MICCAI
2009
Springer
14 years 10 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger