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» Associative Classifiers for Medical Images
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MICCAI
2005
Springer
14 years 11 months ago
Two Methods for Validating Brain Tissue Classifiers
In this paper, we present an evaluation of seven automatic brain tissue classifiers based on level of agreements. A number of agreement measures are explained, and we show how they...
Marcos Martín-Fernández, Sylvain Bou...
ICIP
2003
IEEE
14 years 3 months ago
Image classification using multimedia knowledge networks
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
Ana B. Benitez, Shih-Fu Chang
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
14 years 4 months ago
Text Mining in Radiology Reports
Medical text mining has gained increasing interest in recent years. Radiology reports contain rich information describing radiologist’s observations on the patient’s medical c...
Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng K...
VISSYM
2004
13 years 11 months ago
Medical Applications of Multi-field Volume Rendering and VR Techniques
This paper reports on a new approach for visualizing multi-field MRI or CT datasets in an immersive environment with medical applications. Multi-field datasets combine multiple sc...
Joe Kniss, Jürgen P. Schulze, Uwe Wössne...
CSB
2005
IEEE
145views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Classification Methods for HIV-1 Medicated Neuronal Damage
HIV-1-associated dementia (HAD) is the most devastating disease happened in the central nervous system of AIDS patients. Neuronal damage, the early indicator of HAD, under differe...
Mengjun Wang, Jialin Zheng, Zhengxin Chen, Yong Sh...