PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
- 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
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PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning ; volume:25 ; number:1 ; day:13 ; month:11 ; year:2023 ; pages:1-15 ; date:12.2023
Breast cancer research ; 25, Heft 1 (13.11.2023), 1-15, 12.2023
- Urheber
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Aswolinskiy, Witali
Munari, Enrico
Horlings, Hugo M.
Mulder, Lennart
Bogina, Giuseppe
Sanders, Joyce
Liu, Yat-Hee
Belt-Dusebout, Alexandra W. van den
Tessier, Leslie
Balkenhol, Maschenka
Stegeman, Michelle
Hoven, Jeffrey
Wesseling, Jelle
Laak, Jeroen van der
Lips, Esther H.
Ciompi, Francesco
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13058-023-01726-0
- URN
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urn:nbn:de:101:1-2024013014021092773572
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:37 MESZ
Datenpartner
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Beteiligte
- Aswolinskiy, Witali
- Munari, Enrico
- Horlings, Hugo M.
- Mulder, Lennart
- Bogina, Giuseppe
- Sanders, Joyce
- Liu, Yat-Hee
- Belt-Dusebout, Alexandra W. van den
- Tessier, Leslie
- Balkenhol, Maschenka
- Stegeman, Michelle
- Hoven, Jeffrey
- Wesseling, Jelle
- Laak, Jeroen van der
- Lips, Esther H.
- Ciompi, Francesco
- SpringerLink (Online service)
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