Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

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

doi:10.1016/j.media.2022.102474

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Narmin Laleh Ghaffari
, Hannah Sophie Muti
, Chiara Maria Lavinia loeffler
, Amelie Echle
, Oliver Lerster Saldanha
, Faisal Mahmood
, Ming Y Lu
, Christian Trautwein
, Rupert Langer
, B. Dislich
, Roman D Buelow
, Heike I. Grabsch
, Hermann Brenner
, Jenny Chang-Claude
, Elizabeth Alwers
, Titus J Brinker
, Firas Khader
, Daniel Truhn
, Nadine Therese Gaisa
, Peter Boor

Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather

Department of Pathology and Molecular Pathology

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	102474
Number of pages	79
Journal	Medical Image Analysis
Volume	79
DOIs	https://doi.org/10.1016/j.media.2022.102474
Publication status	Published - Jul 2022

Fields of science

301101 General pathology
301108 Molecular pathology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.media.2022.102474

Cite this

Ghaffari, N. L., Muti, H. S., loeffler, C. M. L., Echle, A., Saldanha, O. L., Mahmood, F., Lu, M. Y., Trautwein, C., Langer, R., Dislich, B., Buelow, R. D., Grabsch, H. I., Brenner, H., Chang-Claude, J., Alwers, E., Brinker, T. J., Khader, F., Truhn, D., Gaisa, N. T., ... Kather, J. N. (2022). Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Analysis, 79, Article 102474. https://doi.org/10.1016/j.media.2022.102474

@article{7c92fbc181c24bb5a140607a8ee92ad6,

title = "Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology",

author = "Ghaffari, \{Narmin Laleh\} and Muti, \{Hannah Sophie\} and loeffler, \{Chiara Maria Lavinia\} and Amelie Echle and Saldanha, \{Oliver Lerster\} and Faisal Mahmood and Lu, \{Ming Y\} and Christian Trautwein and Rupert Langer and B. Dislich and Buelow, \{Roman D\} and Grabsch, \{Heike I.\} and Hermann Brenner and Jenny Chang-Claude and Elizabeth Alwers and Brinker, \{Titus J\} and Firas Khader and Daniel Truhn and Gaisa, \{Nadine Therese\} and Peter Boor and Michael Hoffmeister and Volkmar Schulz and Kather, \{Jakob Nikolas\}",

year = "2022",

month = jul,

doi = "10.1016/j.media.2022.102474",

language = "English",

volume = "79",

journal = "Medical Image Analysis",

issn = "1361-8423",

}

Ghaffari, NL, Muti, HS, loeffler, CML, Echle, A, Saldanha, OL, Mahmood, F, Lu, MY, Trautwein, C, Langer, R, Dislich, B, Buelow, RD, Grabsch, HI, Brenner, H, Chang-Claude, J, Alwers, E, Brinker, TJ, Khader, F, Truhn, D, Gaisa, NT, Boor, P, Hoffmeister, M, Schulz, V & Kather, JN 2022, 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology', Medical Image Analysis, vol. 79, 102474. https://doi.org/10.1016/j.media.2022.102474

TY - JOUR

T1 - Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

AU - Ghaffari, Narmin Laleh

AU - Muti, Hannah Sophie

AU - loeffler, Chiara Maria Lavinia

AU - Echle, Amelie

AU - Saldanha, Oliver Lerster

AU - Mahmood, Faisal

AU - Lu, Ming Y

AU - Trautwein, Christian

AU - Langer, Rupert

AU - Dislich, B.

AU - Buelow, Roman D

AU - Grabsch, Heike I.

AU - Brenner, Hermann

AU - Chang-Claude, Jenny

AU - Alwers, Elizabeth

AU - Brinker, Titus J

AU - Khader, Firas

AU - Truhn, Daniel

AU - Gaisa, Nadine Therese

AU - Boor, Peter

AU - Hoffmeister, Michael

AU - Schulz, Volkmar

AU - Kather, Jakob Nikolas

PY - 2022/7

Y1 - 2022/7

UR - https://www.scopus.com/pages/publications/85130396057

U2 - 10.1016/j.media.2022.102474

DO - 10.1016/j.media.2022.102474

M3 - Article

SN - 1361-8423

VL - 79

JO - Medical Image Analysis

JF - Medical Image Analysis

M1 - 102474

ER -

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Fields of science

UN SDGs

Access to Document

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