1012 search results - page 1 / 203 » A Learning Classifier Approach to Tomography |
ECAI
2006
Springer
13 years 9 months ago
2006
Springer
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
CVPR
2009
IEEE
15 years 11 days ago
2009
IEEE
The computer aided diagnosis (CAD) problems of detecting
potentially diseased structures from medical images are
typically distinguished by the following challenging characterist...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
Recent years have seen increased use of Computed Tomography (CT) based Unaccompanied Baggage and Package Screening (UBPS) systems for luggage examination to ensure air travel secu...
AIME
2009
Springer
13 years 2 months ago
2009
Springer
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...