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Cao, Peng, Liu, Xiaoli, Yang, Jinzhu, Zhao, Dazhe, Li, Wei, Huang, Min, Zaiane, Osmar (2017) A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognition, 64. 327-346 doi:10.1016/j.patcog.2016.11.007

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Reference TypeJournal (article/letter/editorial)
TitleA multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules
JournalPattern Recognition
AuthorsCao, PengAuthor
Liu, XiaoliAuthor
Yang, JinzhuAuthor
Zhao, DazheAuthor
Li, WeiAuthor
Huang, MinAuthor
Zaiane, OsmarAuthor
Year2017 (April)Volume64
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2016.11.007Search in ResearchGate
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Mindat Ref. ID9366848Long-form Identifiermindat:1:5:9366848:4
GUID0
Full ReferenceCao, Peng, Liu, Xiaoli, Yang, Jinzhu, Zhao, Dazhe, Li, Wei, Huang, Min, Zaiane, Osmar (2017) A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognition, 64. 327-346 doi:10.1016/j.patcog.2016.11.007
Plain TextCao, Peng, Liu, Xiaoli, Yang, Jinzhu, Zhao, Dazhe, Li, Wei, Huang, Min, Zaiane, Osmar (2017) A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognition, 64. 327-346 doi:10.1016/j.patcog.2016.11.007
In(2017) Pattern Recognition Vol. 64. Elsevier BV

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