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MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
15 years 2 months ago
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
150
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
We present a fully automatic lung lobe segmentation algorithm that is effective in high resolution computed tomography (CT) datasets in the presence of confounding factors such as ...
135
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
150
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Although it is well-known that the sam...
122
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PVLDB
2010
15 years 2 months ago
2010
We report on a query compilation technique that enables the construction of alternative efficient query providers for Microsoft’s Language Integrated Query (LINQ) framework. LIN...