Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

딥 러닝을 활용한 자기공명영상에서의 표준화 섭취 계수 비율 예측(Prediction of Standardized Uptake Value Ratio from Magnetic Resonance Imaging using Deep Learning)

Full metadata record
DC Field Value Language
dc.contributor.author이종민-
dc.date.accessioned2021-08-02T20:27:51Z-
dc.date.available2021-08-02T20:27:51Z-
dc.date.created2021-06-30-
dc.date.issued2018-05-11-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/28788-
dc.publisher대한의용생체공학회-
dc.title딥 러닝을 활용한 자기공명영상에서의 표준화 섭취 계수 비율 예측(Prediction of Standardized Uptake Value Ratio from Magnetic Resonance Imaging using Deep Learning)-
dc.typeConference-
dc.contributor.affiliatedAuthor이종민-
dc.identifier.bibliographicCitation2018년 대한의용생체공학회 춘계학술대회-
dc.relation.isPartOf2018년 대한의용생체공학회 춘계학술대회-
dc.citation.title2018년 대한의용생체공학회 춘계학술대회-
dc.citation.conferencePlace대한민국 충주(건국대학교 글로컬캠퍼스 교양 강의동)-
dc.type.rimsCONF-
dc.description.journalClass2-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 생체공학전공 > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Jong Min photo

Lee, Jong Min
COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
Read more

Altmetrics

Total Views & Downloads

BROWSE