Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer

Ogier du Terrail, Jean; Leopold, Armand; Joly, Clément; Beguier, Constance; Andreux, Mathieu; Maussion, Charles; Schmauch, Benoit; Tramel, Eric W.; Bendjebbar, Etienne; Zaslavskiy, Mikhail; Wainrib, Gilles; Milder, Maud; Gervasoni, Julie; Guérin, Julien; Durand, Thierry; Livartowski, Alain; Moutet, Kelvin; Gautier, Clément A.; Djafar, Inal; Moisson, Anne-Laure; Marini, Camille; Galtier, Mathieu N.; Balazard, Félix; Dubois, Rémy; Moreira, Jeverson; Simon, Antoine; Drubay, Damien; Lacroix-Triki, Magali; Franchet, Camille; Bataillon, Guillaume; Heudel, Pierre-Etienne

doi:10.1038/s41591-022-02155-w

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Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer

Author(s): Jean Ogier du Terrail , Armand Leopold , Clément Joly , Constance Béguier , Mathieu Andreux , Charles Maussion , Benoît Schmauch , Eric W. Tramel , Etienne Bendjebbar , Mikhail Zaslavskiy , Gilles Wainrib , Maud Milder , Julie Gervasoni , Julien Guerin , Thierry Durand , Alain Livartowski , Kelvin Moutet , Clément Gautier , Inal Djafar , Anne-Laure Moisson , Camille Marini , Mathieu Galtier , Félix Balazard , Rémy Dubois , Jeverson Moreira , Antoine Simon , Damien Drubay , Magali Lacroix-Triki , Camille Franchet , Guillaume Bataillon , Pierre-Etienne Heudel

Publication date (Electronic): January 19 2023

Journal: Nature Medicine

Publisher: Springer Science and Business Media LLC

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Kaiming He, Xiangyu Zhang, Shaoqing Ren … (2020)

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SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant … (2020)

SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.

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U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger, Philipp Fischer, Thomas Brox (2015)

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Jean Ogier du Terrail: (View ORCID Profile)

Armand Leopold: (View ORCID Profile)

Mathieu Andreux: (View ORCID Profile)

Benoît Schmauch: (View ORCID Profile)

Julien Guerin: (View ORCID Profile)

Thierry Durand: (View ORCID Profile)

Jeverson Moreira: (View ORCID Profile)

Damien Drubay: (View ORCID Profile)

Magali Lacroix-Triki: (View ORCID Profile)

Pierre-Etienne Heudel: (View ORCID Profile)

Journal

Title: Nature Medicine

Abbreviated Title: Nat Med

Publisher: Springer Science and Business Media LLC

ISSN (Print): 1078-8956

ISSN (Electronic): 1546-170X

Publication date (Electronic): January 19 2023

Article

DOI: 10.1038/s41591-022-02155-w

PubMed ID: 36658418

SO-VID: 1bb2be15-dfd9-4693-80d8-cde5b16c3044

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https://www.springernature.com/gp/researchers/text-and-data-mining

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