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» Automatic Image Annotation Using Group Sparsity
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BMCBI
2007
140views more  BMCBI 2007»
13 years 8 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
CIKM
2009
Springer
14 years 1 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
BMCBI
2006
182views more  BMCBI 2006»
13 years 8 months ago
AceTree: a tool for visual analysis of Caenorhabditis elegans embryogenesis
Background: The invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We...
Thomas J. Boyle, Zhirong Bao, John I. Murray, Carl...
CVPR
2010
IEEE
14 years 26 days ago
Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Ki...
BIBE
2009
IEEE
135views Bioinformatics» more  BIBE 2009»
13 years 6 months ago
Vascular Tree Construction with Anatomical Realism for Retinal Images
In this paper, we present a method to automatically extract the vessel segments and construct the vascular tree with anatomical realism from a color retinal image. The significanc...
Kai-Shung Lin, Chia-Ling Tsai, Michal Sofka, Chih-...