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» Associative Classifiers for Medical Images
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BMCBI
2007
104views more  BMCBI 2007»
13 years 7 months ago
Using contextual and lexical features to restructure and validate the classification of biomedical concepts
Background: Biomedical ontologies are critical for integration of data from diverse sources and for use by knowledge-based biomedical applications, especially natural language pro...
Jung-Wei Fan, Hua Xu, Carol Friedman
CLEF
2007
Springer
14 years 1 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
ICIP
2005
IEEE
14 years 9 months ago
Image fusion using a new framework for complex wavelet transforms
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
CVPR
2007
IEEE
14 years 9 months ago
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure
We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
Jinbo Bi, Jianming Liang
MIA
2010
170views more  MIA 2010»
13 years 2 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...