Multi-frequency-based CXR data normalization for deep-neural-network classifier

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 247
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKim, Hyeongseokko
dc.contributor.authorLee, Seoyoungko
dc.contributor.authorSim, Woojungko
dc.contributor.authorCho, Daechulko
dc.contributor.authorCho, Seungryongko
dc.date.accessioned2021-08-03T08:30:16Z-
dc.date.available2021-08-03T08:30:16Z-
dc.date.created2021-08-02-
dc.date.issued2021-07-25-
dc.identifier.citationAAPM 2021 (63rd Annual Meeting & Exhibition)-
dc.identifier.urihttp://hdl.handle.net/10203/287011-
dc.languageEnglish-
dc.publisherAmerican Association of Physicists in Medicine-
dc.titleMulti-frequency-based CXR data normalization for deep-neural-network classifier-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameAAPM 2021 (63rd Annual Meeting & Exhibition)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorCho, Seungryong-
dc.contributor.nonIdAuthorSim, Woojung-
dc.contributor.nonIdAuthorCho, Daechul-
Appears in Collection
NE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0