Employing Raman Spectroscopy and Machine Learning for the Identification of Breast Cancer
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Employing Raman Spectroscopy and Machine Learning for the Identification of Breast Cancer ; volume:26 ; number:1 ; day:12 ; month:9 ; year:2024 ; pages:1-9 ; date:12.2024
Biological procedures online ; 26, Heft 1 (12.9.2024), 1-9, 12.2024
- Klassifikation
-
Medizin, Gesundheit
- Urheber
-
Zhang, Ya
Li, Zheng
Li, Zhongqiang
Wang, Huaizhi
Regmi, Dinkar
Zhang, Jian
Feng, Jiming
Yao, Shaomian
Xu, Jian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12575-024-00255-0
- URN
-
urn:nbn:de:101:1-2411262129053.384378352786
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:36 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Zhang, Ya
- Li, Zheng
- Li, Zhongqiang
- Wang, Huaizhi
- Regmi, Dinkar
- Zhang, Jian
- Feng, Jiming
- Yao, Shaomian
- Xu, Jian
- SpringerLink (Online service)
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