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Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney
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In
Scientific reports 14(1), Seiten/Artikel-Nr.:27258
2024
Online
DOI: 10.18154/RWTH-CONV-254587
DOI: 10.1038/s41598-024-77582-5
URL: https://publications.rwth-aachen.de/record/1008218/files/1008218.pdf
Einrichtungen
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85209474070
WOS Core Collection: WOS:001378238200005
PubMed: pmid:39516256
OpenAlex: W4404163952
Interne Identnummern
RWTH-CONV-254587
Datensatz-ID: 1008218
Beteiligte Länder
France, Germany, UK, USA
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