Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474

Ghaffari Laleh, Narmin; Gaisa, Nadine; Schulz, Volkmar Adolf; Buelow, Roman David; Lu, Ming Y.; Hoffmeister, Michael; Echle, Amelie; Brinker, Titus J.; Trautwein, Christian; Grabsch, Heike Irmgard; Muti, Hannah Sophie; Boor, Peter; Dislich, Bastian; Khader, Firas; Brenner, Hermann; Chang-Claude, Jenny; Saldanha, Oliver Lester; Langer, Rupert; Mahmood, Faisal; Loeffler, Chiara Maria Lavinia; Kather, Jakob Nikolas; Truhn, Daniel; Alwers, Elizabeth

doi:SCOPUS:2-s2.0-85138079531

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474

Ghaffari Laleh, Narmin^RWTH* ; Muti, Hannah Sophie^RWTH* ; Loeffler, Chiara Maria Lavinia^RWTH* ; Echle, Amelie^RWTH* ; Saldanha, Oliver Lester^RWTH* ; Mahmood, Faisal ; Lu, Ming Y. ; Trautwein, Christian^RWTH* ; Langer, Rupert ; Dislich, Bastian ; Buelow, Roman David^RWTH* ; Grabsch, Heike Irmgard ; Brenner, Hermann ; Chang-Claude, Jenny ; Alwers, Elizabeth ; Brinker, Titus J. ; Khader, Firas^RWTH* ; Truhn, Daniel^RWTH* ; Gaisa, Nadine^RWTH* ; Boor, Peter^RWTH* ; Hoffmeister, Michael ; Schulz, Volkmar Adolf^RWTH* ; Kather, Jakob Nikolas (Corresponding author)^RWTH*

In
Medical image analysis 82, Seiten/Artikel-Nr.:102622

2022

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang1 Seite

ISSN1361-8431

Erratum zu: Ghaffari Laleh, Narmin ...: Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. - In: Medical image analysis 79(2022), 102474. - DOI: 10.1016/j.media.2022.102474

Online
DOI: 10.1016/j.media.2022.102622
10.1016/j.media.2022.102622

Einrichtungen

Dokumenttyp
Journal Article (Erratum/Correction)

Format
online, print

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85138079531
WOS Core Collection: WOS:000861119300001
PubMed: pmid:36130464
OpenAlex: W4296242389

Interne Identnummern
RWTH-CONV-249750
Datensatz-ID: 860820

Beteiligte Länder
Austria, Germany, Netherlands, Switzerland, UK, USA

Lizenzstatus der Zeitschrift

Related:

Journal Article Ghaffari Laleh, N.RWTH* ; Muti, H. S.RWTH* ; Loeffler, C. M. L.RWTH* ; Echle, A.RWTH* ; Saldanha, O. L.RWTH* ; Mahmood, F. ; Lu, M. Y. ; Trautwein, C.RWTH* ; Langer, R. ; Dislich, B. ; Buelow, R. D.RWTH* ; Grabsch, H. I. ; Brenner, H. ; Chang-Claude, J. ; Alwers, E. ; Brinker, T. J. ; Khader, F.RWTH* ; Truhn, D.RWTH* ; Gaisa, N.RWTH* ; Boor, P.RWTH* ; Hoffmeister, M. ; Schulz, V. A.RWTH* ; Kather, J. N. (Corresponding author)RWTH*
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
Medical image analysis 79, 102474 (2022) [10.1016/j.media.2022.102474]2022 OpenAccess Files BibTeX | EndNote: XML, Text | RIS

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Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474

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