A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-0711
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients ; day:9 ; month:5 ; year:2022 ; pages:1-12
Archives of gynecology and obstetrics ; (9.5.2022), 1-12
- Creator
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Arezzo, Francesca
Cormio, Gennaro
Forgia, Daniele La
Santarsiero, Carla Mariaflavia
Mongelli, Michele
Lombardi, Claudio
Cazzato, Gerardo
Cicinelli, Ettore
Loizzi, Vera
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00404-022-06578-1
- URN
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urn:nbn:de:101:1-2022071606145247314300
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Arezzo, Francesca
- Cormio, Gennaro
- Forgia, Daniele La
- Santarsiero, Carla Mariaflavia
- Mongelli, Michele
- Lombardi, Claudio
- Cazzato, Gerardo
- Cicinelli, Ettore
- Loizzi, Vera
- SpringerLink (Online service)
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