AI models for automated segmentation of engineered polycystic kidney tubules
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
AI models for automated segmentation of engineered polycystic kidney tubules ; volume:14 ; number:1 ; day:3 ; month:2 ; year:2024 ; pages:1-16 ; date:12.2024
Scientific reports ; 14, Heft 1 (3.2.2024), 1-16, 12.2024
- Urheber
-
Monaco, Simone
Bussola, Nicole
Buttò, Sara
Sona, Diego
Giobergia, Flavio
Jurman, Giuseppe
Xinaris, Christodoulos
Apiletti, Daniele
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-52677-1
- URN
-
urn:nbn:de:101:1-2410230852233.685073338804
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
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Beteiligte
- Monaco, Simone
- Bussola, Nicole
- Buttò, Sara
- Sona, Diego
- Giobergia, Flavio
- Jurman, Giuseppe
- Xinaris, Christodoulos
- Apiletti, Daniele
- SpringerLink (Online service)
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