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» Medical data mining using evolutionary computation
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ISBI
2011
IEEE
13 years 16 days 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, ...
PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
ACSC
2002
IEEE
14 years 1 months ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
ADL
1998
Springer
189views Digital Library» more  ADL 1998»
14 years 1 months ago
Semantic Relations in a Medical Digital Library
ct In this paper, we describe the VesaliusTM Project, a multi-modal collection of anatomical resourcesunder development at Columbia University. 1 Our focus is on the need for navig...
Nina Wacholder, Celina Imielinska, Judith Klavans,...
BMCBI
2010
185views more  BMCBI 2010»
13 years 9 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...