LATENT FEATURE REPRESENTATION WITH 3-D MULTI-VIEW DEEP CONVOLUTIONAL NEURAL NETWORK FOR BILATERAL ANALYSIS IN DIGITAL BREAST TOMOSYNTHESIS

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dc.contributor.authorKim, Dae Hoeko
dc.contributor.authorKim, Seong Taeko
dc.contributor.authorRo, Yong Manko
dc.date.accessioned2016-06-29T02:19:59Z-
dc.date.available2016-06-29T02:19:59Z-
dc.date.created2016-04-18-
dc.date.created2016-04-18-
dc.date.created2016-04-18-
dc.date.issued2016-03-24-
dc.identifier.citationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)-
dc.identifier.urihttp://hdl.handle.net/10203/208558-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleLATENT FEATURE REPRESENTATION WITH 3-D MULTI-VIEW DEEP CONVOLUTIONAL NEURAL NETWORK FOR BILATERAL ANALYSIS IN DIGITAL BREAST TOMOSYNTHESIS-
dc.typeConference-
dc.identifier.wosid000388373401013-
dc.identifier.scopusid2-s2.0-84973308379-
dc.type.rimsCONF-
dc.citation.publicationnameIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)-
dc.identifier.conferencecountryCC-
dc.identifier.conferencelocationShanghai, China-
dc.contributor.localauthorRo, Yong Man-
dc.contributor.nonIdAuthorKim, Dae Hoe-
dc.contributor.nonIdAuthorKim, Seong Tae-
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EE-Conference Papers(학술회의논문)
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