PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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

Creator
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
Contributor
SpringerLink (Online service)

DOI
10.1186/s13058-023-01726-0
URN
urn:nbn:de:101:1-2024013014021092773572
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:37 AM CEST

Data provider

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Associated

  • 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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