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  4. Erratum to "Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology", Medical Image Analysis, Volume 79, July 2022, 102474 (Medical Image Analysis (2022) 79, (S1361841522001219), (10.1016/j.media.2022.102474))
 
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2022
Erratum
Title

Erratum to "Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology", Medical Image Analysis, Volume 79, July 2022, 102474 (Medical Image Analysis (2022) 79, (S1361841522001219), (10.1016/j.media.2022.102474))

Abstract
The publisher regrets that figures were misplaced after the proofing stage. Figure 4 and 5 are duplicates of other figures. The figure legends are not affected. Figure 4 and Figure 5 were corrected in the online version of the article. The publisher would like to apologise for any inconvenience caused.
Author(s)
Ghaffari Laleh, Narmin
Muti, Hannah Sophie
Loeffler, Chiara Maria Lavinia
Echle, Amelie
Saldanha, Oliver Lester
Mahmood, Faisal
Lu, Ming Y.
Trautwein, Christian
Langer, Rupert
Dislich, Bastian
Buelow, Roman David
Grabsch, Heike Irmgard
Brenner, Hermann
Chang-Claude, Jenny C.
Alwers, Elizabeth
Brinker, Titus Josef
Khader, Firas
Truhn, Daniel
Gaisa, Nadine Therese
Boor, Peter
Hoffmeister, Michael
Schulz, Volkmar
Fraunhofer-Institut für Digitale Medizin MEVIS  
Kather, Jakob Nikolas
Journal
Medical image analysis : MedIA  
Open Access
DOI
10.1016/j.media.2022.102622
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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