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Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer

Published Online: 2022-09-21

Authors

Rączkowska, Alicja

Paśnik, Iwona

Kukiełka, Michał

Nicoś, Marcin

Budzinska, Magdalena A.

Kucharczyk, Tomasz

Szumiło, Justyna

Krawczyk, Paweł

Crosetto, Nicola

Szczurek, Ewa
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Text and Data Mining valid from 2022-09-21

Version of Record valid from 2022-09-21
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Article History

Received: 28 December 2021

Accepted: 7 September 2022

First Online: 21 September 2022

Declarations

:

: The study was performed in accordance with the Declaration of Helsinki. The study protocol received ethical approval from the Ethics Committee of the Medical University of Lublin, Poland (no. KE-0254/235/2016) and oral informed consent was collected prior to storing anonymized tissue samples. The analysis described here was retrospective. It was conducted with archived formalin-fixed paraffin embedded FFPE samples, devoid of any personalized patient data.

: Not applicable.

: Other projects in the lab of ES are co-funded by Merck Healthcare KGaA.

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