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dc.contributor.authorKIMSEONGHAN-
dc.contributor.authorJUNGBIN, LEE-
dc.contributor.authorNOSEONG, PARK-
dc.contributor.authorKIM, KI HEAN-
dc.date.accessioned2021-09-03T04:33:45Z-
dc.date.available2021-09-03T04:33:45Z-
dc.date.created2021-07-12-
dc.date.issued2021-07-05-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/106985-
dc.languageKorean-
dc.publisher한국광학회-
dc.relation.isPartOfOptics and Photonics Congress 2021 (OPC 2021)-
dc.titleNeural Network based Automated Conjunctival Goblet Cell Density Analysis for Fluorescence Images of Rabbit Models-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationOptics and Photonics Congress 2021 (OPC 2021)-
dc.citation.conferenceDate2021-07-04-
dc.citation.conferencePlaceKO-
dc.citation.titleOptics and Photonics Congress 2021 (OPC 2021)-
dc.contributor.affiliatedAuthorKIMSEONGHAN-
dc.contributor.affiliatedAuthorJUNGBIN, LEE-
dc.contributor.affiliatedAuthorNOSEONG, PARK-
dc.contributor.affiliatedAuthorKIM, KI HEAN-
dc.description.journalClass2-
dc.description.journalClass2-

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