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ISBI
2011
IEEE
12 years 9 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
AIME
1997
Springer
13 years 9 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric
ITCC
2005
IEEE
13 years 11 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
MICCAI
2007
Springer
13 years 11 months ago
A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens
Motivated by the current limitations of automated quantitative image analysis in discriminating among intracellular immunohistochemical (IHC) staining patterns, this paper presents...
Bonnie Hall, Wenjin Chen, Michael Reiss, David J. ...
CAD
2005
Springer
13 years 5 months ago
Parameterization and parametric design of mannequins
This paper presents a novel feature based parameterization approach of human bodies from the unorganized cloud points and the parametric design method for generating new models ba...
Charlie C. L. Wang