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

Autor: Rączkowska A; Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland., Paśnik I; Department of Clinical Pathomorphology, Medical University of Lublin, Jaczewskiego 8b, 20-090, Lublin, Poland., Kukiełka M; Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland., Nicoś M; Department of Pneumology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-090, Lublin, Poland., Budzinska MA; Ardigen, Podole 76, 30-394, Cracow, Poland., Kucharczyk T; Department of Pneumology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-090, Lublin, Poland., Szumiło J; Department of Clinical Pathomorphology, Medical University of Lublin, Jaczewskiego 8b, 20-090, Lublin, Poland., Krawczyk P; Department of Pneumology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-090, Lublin, Poland., Crosetto N; Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Tomtebodavägen 23a, 17165, Solna, Sweden.; Science for Life Laboratory, Tomtebodavägen 23a, 17165, Solna, Sweden., Szczurek E; Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland. szczurek@mimuw.edu.pl.

Publikováno v: BMC cancer [BMC Cancer] 2022 Sep 21; Vol. 22 (1), pp. 1001. Date of Electronic Publication: 2022 Sep 21.