Detailed Information

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

Development of deep learning algorithm for generating synthetic cholangiography from CT images using the generative adversarial network: a preliminary study

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Min Ju-
dc.date.accessioned2022-11-06T09:42:29Z-
dc.date.available2022-11-06T09:42:29Z-
dc.date.created2022-11-05-
dc.date.issued2022-09-23-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/144973-
dc.publisherKorean Society of Radiology-
dc.titleDevelopment of deep learning algorithm for generating synthetic cholangiography from CT images using the generative adversarial network: a preliminary study-
dc.title.alternativeDevelopment of deep learning algorithm for generating synthetic cholangiography from CT images using the generative adversarial network: a preliminary study-
dc.typeConference-
dc.contributor.affiliatedAuthorKim, Min Ju-
dc.identifier.bibliographicCitation2022 KCR AOCR-
dc.relation.isPartOf2022 KCR AOCR-
dc.relation.isPartOfKCR AOCR-
dc.citation.title2022 KCR AOCR-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2022-09-20-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Kim, Min Ju photo

Kim, Min Ju
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE