PRIMAGE - An Artifical Intelligence-based Clinical Decision Support System for Optimized Cancer Diagnosis and Risk Assessment : A Progress Update

Nieto, Adela Cañete; Ladenstein, Ruth; Hero, Barbara; Taschner-Mandl, Sabine; Pötschger, Ulrike; Düster, Vanessa; Martinez De Las Heras, Blanca; Fischer, Maximilian T.; Metz, Yannick; Keim, Daniel A.

PRIMAGE - An Artifical Intelligence-based Clinical Decision Support System for Optimized Cancer Diagnosis and Risk Assessment : A Progress Update

Dateien

Nieto_2-1bb2a94yn7sdl6.pdfGröße: 1.38 MBDownloads: 80

Datum

2022

Autor:innen

Nieto, Adela Cañete

Ladenstein, Ruth

Hero, Barbara

Taschner-Mandl, Sabine

Pötschger, Ulrike

Düster, Vanessa

Martinez De Las Heras, Blanca

Fischer, Maximilian T.

Metz, Yannick

Keim, Daniel A.

et al.

URI (zitierfähiger Link)

http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1bb2a94yn7sdl6

Link zur Lizenz

Urheberrechtlich geschützt

Angaben zur Forschungsförderung

European Union (EU): 826494

Projekt

PRIMAGE - PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Sonstiges, Konferenz

Publikationsstatus

Published

Erschienen in

SIOPEN Annual General Meeting 2022

Fachgebiet (DDC)

004 Informatik

Konferenz

SIOPEN Annual General Meeting 2022, 12. Okt. 2022 - 14. Okt. 2022, Athens

Zitieren

ISO 690

NIETO, Adela Cañete, Ruth LADENSTEIN, Barbara HERO, Sabine TASCHNER-MANDL, Ulrike PÖTSCHGER, Vanessa DÜSTER, Blanca MARTINEZ DE LAS HERAS, Maximilian T. FISCHER, Yannick METZ, Daniel A. KEIM, 2022. PRIMAGE - An Artifical Intelligence-based Clinical Decision Support System for Optimized Cancer Diagnosis and Risk Assessment : A Progress Update. SIOPEN Annual General Meeting 2022. Athens, 12. Okt. 2022 - 14. Okt. 2022. In: SIOPEN Annual General Meeting 2022

BibTex

RDF

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Universitätsbibliographie

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