Explainable ML models for a deeper insight on treatment decision for localized prostate cancer
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Explainable ML models for a deeper insight on treatment decision for localized prostate cancer ; volume:13 ; number:1 ; day:17 ; month:7 ; year:2023 ; pages:1-8 ; date:12.2023
Scientific reports ; 13, Heft 1 (17.7.2023), 1-8, 12.2023
- Urheber
-
Han, Jang Hee
Lee, Sungyup
Lee, Byounghwa
Baek, Ock-kee
Washington, Samuel L.
Herlemann, Annika
Lonergan, Peter E.
Carroll, Peter R.
Jeong, Chang Wook
Cooperberg, Matthew R.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-38162-1
- URN
-
urn:nbn:de:101:1-2023102409002710632062
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Han, Jang Hee
- Lee, Sungyup
- Lee, Byounghwa
- Baek, Ock-kee
- Washington, Samuel L.
- Herlemann, Annika
- Lonergan, Peter E.
- Carroll, Peter R.
- Jeong, Chang Wook
- Cooperberg, Matthew R.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Explainable ML
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
Unraveling ML models of emotion with NOVA: multi-level explainable AI for non-experts
Deeper and deeper still : "Jephtha" / (Handel)
A springboard for delving into deeper waters
Requirements engineering for explainable systems
Recit.: Deeper and deeper still : ("Jephtha") / (Handel)
Iterative transformations for deeper exploration during concept generation
ELUCNN for explainable COVID-19 diagnosis
An explainable assistant for multiuser privacy
A framework for explainable root cause analysis in manufacturing systems : explainable Artificial Intelligence for shopfloor workers
Digging deeper for new physics in the LHC data
Explainable ML
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
Unraveling ML models of emotion with NOVA: multi-level explainable AI for non-experts
Deeper and deeper still : "Jephtha" / (Handel)
A springboard for delving into deeper waters
Requirements engineering for explainable systems
Recit.: Deeper and deeper still : ("Jephtha") / (Handel)
Iterative transformations for deeper exploration during concept generation
ELUCNN for explainable COVID-19 diagnosis
An explainable assistant for multiuser privacy
A framework for explainable root cause analysis in manufacturing systems : explainable Artificial Intelligence for shopfloor workers
Digging deeper for new physics in the LHC data
Explainable ML
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
Unraveling ML models of emotion with NOVA: multi-level explainable AI for non-experts
Deeper and deeper still : "Jephtha" / (Handel)
A springboard for delving into deeper waters
Requirements engineering for explainable systems
Recit.: Deeper and deeper still : ("Jephtha") / (Handel)
Iterative transformations for deeper exploration during concept generation
ELUCNN for explainable COVID-19 diagnosis
An explainable assistant for multiuser privacy
A framework for explainable root cause analysis in manufacturing systems : explainable Artificial Intelligence for shopfloor workers