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On the medical frontier: the 2006 KDD Cup competition and results

On the medical frontier: the 2006 KDD Cup competition and results The 2006 KDD Cup Competition featured three data mining tasks drawn from a medical imaging domain. At the core, all of these tasks were concerned with identifying pulmonary embolisms (PEs) from pre-processed computed tomography (CT) images of human lungs. However, these tasks were complicated by features such as multi-instance learning, stringent performance standards, hard-threshold evaluation functions, spatial correlations, and small training sets. This paper gives an overview of the data and medical imaging tasks, the competition and evaluation, and the competition victors. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGKDD Explorations Newsletter Association for Computing Machinery

On the medical frontier: the 2006 KDD Cup competition and results

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2006 by ACM Inc.
ISSN
1931-0145
DOI
10.1145/1233321.1233326
Publisher site
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Abstract

The 2006 KDD Cup Competition featured three data mining tasks drawn from a medical imaging domain. At the core, all of these tasks were concerned with identifying pulmonary embolisms (PEs) from pre-processed computed tomography (CT) images of human lungs. However, these tasks were complicated by features such as multi-instance learning, stringent performance standards, hard-threshold evaluation functions, spatial correlations, and small training sets. This paper gives an overview of the data and medical imaging tasks, the competition and evaluation, and the competition victors.

Journal

ACM SIGKDD Explorations Newsletter – Association for Computing Machinery

Published: Dec 1, 2006

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