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))

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

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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 (Medical Image Analysis (2022) 79, (S1361841522001219), (10.1016/j.media.2022.102474))

Medical Image Analysis

DOI: 10.1016/j.media.2022.102622

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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.

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Ghaffari Laleh, N., Muti, H. S., Loeffler, C. M. L., Echle, A., Saldanha, O. L., Mahmood, F., … Kather, J. N. (2022, November 1). 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)). Medical Image Analysis. Elsevier B.V. https://doi.org/10.1016/j.media.2022.102622

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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