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A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks

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dc.contributor.authorKim, YongSoo-
dc.contributor.authorPark, Seungbin-
dc.contributor.authorKim, Hannah-
dc.contributor.authorKim, Seung-Seob-
dc.contributor.authorLim, Joon Seok-
dc.contributor.authorKim, Sungwon-
dc.contributor.authorChoi, Kihwan-
dc.contributor.authorSeo, Hyunseok-
dc.date.accessioned2026-06-11T01:49:06Z-
dc.date.available2026-06-11T01:49:06Z-
dc.date.created2026-05-22-
dc.date.issued2022-07-
dc.identifier.issn1557-170X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/212541-
dc.language영어-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOfProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS-
dc.subject.MESHColorectal Neoplasms* / diagnostic imaging-
dc.subject.MESHElectric Power Supplies-
dc.subject.MESHHumans-
dc.subject.MESHMental Recall-
dc.subject.MESHRadiopharmaceuticals*-
dc.subject.MESHTomography, X-Ray Computed-
dc.titleA Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks-
dc.typeArticle-
dc.contributor.googleauthorKim, YongSoo-
dc.contributor.googleauthorPark, Seungbin-
dc.contributor.googleauthorKim, Hannah-
dc.contributor.googleauthorKim, Seung-Seob-
dc.contributor.googleauthorLim, Joon Seok-
dc.contributor.googleauthorKim, Sungwon-
dc.contributor.googleauthorChoi, Kihwan-
dc.contributor.googleauthorSeo, Hyunseok-
dc.identifier.doi10.1109/EMBC48229.2022.9871285-
dc.identifier.pmid36085607-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9871285-
dc.contributor.affiliatedAuthorKim, Seung-Seob-
dc.contributor.affiliatedAuthorLim, Joon Seok-
dc.contributor.affiliatedAuthorKim, Sungwon-
dc.identifier.scopusid2-s2.0-85138128539-
dc.identifier.wosid001251147203137-
dc.citation.volume2022-July-
dc.citation.startPage3793-
dc.citation.endPage3796-
dc.identifier.bibliographicCitationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol.2022-July : 3793-3796, 2022-07-
dc.identifier.rimsid93013-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeConference paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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