Deep learning outperforms kidney organoid experts

130 311

Cited 0 times in

DC Field	Value	Language
dc.contributor.author	지헌영	-
dc.date.accessioned	2023-04-20T08:16:20Z	-
dc.date.available	2023-04-20T08:16:20Z	-
dc.date.issued	2023-01	-
dc.identifier.issn	2211-9132	-
dc.identifier.uri	https://ir.ymlib.yonsei.ac.kr/handle/22282913/194045	-
dc.description.statementOfResponsibility	open	-
dc.language	English	-
dc.publisher	Elsevier Korea	-
dc.relation.isPartOf	KIDNEY RESEARCH AND CLINICAL PRACTICE	-
dc.rights	CC BY-NC-ND 2.0 KR	-
dc.title	Deep learning outperforms kidney organoid experts	-
dc.type	Article	-
dc.contributor.college	College of Medicine (의과대학)	-
dc.contributor.department	Dept. of Pharmacology (약리학교실)	-
dc.contributor.googleauthor	Seyoung Yu	-
dc.contributor.googleauthor	Heon Yung Gee	-
dc.identifier.doi	10.23876/j.krcp.22.174	-
dc.contributor.localId	A03971	-
dc.relation.journalcode	J01942	-
dc.identifier.eissn	2211-9140	-
dc.identifier.pmid	36747356	-
dc.contributor.alternativeName	Gee, Heon Yung	-
dc.contributor.affiliatedAuthor	지헌영	-
dc.citation.volume	42	-
dc.citation.number	1	-
dc.citation.startPage	1	-
dc.citation.endPage	3	-
dc.identifier.bibliographicCitation	KIDNEY RESEARCH AND CLINICAL PRACTICE, Vol.42(1) : 1-3, 2023-01	-

Appears in Collections:: 1. College of Medicine (의과대학) > Dept. of Pharmacology (약리학교실) > 1. Journal Papers

Show simple item record Find it @ YMLIB

YUHSpace: Deep learning outperforms kidney organoid experts