A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules

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Title
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules
Authors
Keywords
Lung nodule detection, False positive reduction, Classification, Imbalanced data learning, Multi-kernel learning, Feature selection
Journal
PATTERN RECOGNITION
Volume 64, Issue -, Pages 327-346
Publisher
Elsevier BV
Online
2016-11-15
DOI
10.1016/j.patcog.2016.11.007

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