Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer
2022 · BMC Cancer · 32 citations
https://doi.org/10.1186/s12885-022-10081-w
M
Michał Kukiełka
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Michał Kukiełka is an academic researcher from Rodan Development (Poland). The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Lung Cancer Diagnosis and Treatment & Computational Drug Discovery Methods. The author has an h-index of 4, co-authored 10 publications.
Papers by this author
worksAdditional file 3 of Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer
2023 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.21184206
Additional file 2 of Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.21184203.v1
Additional file 2 of Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer
2023 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.21184203
Additional file 3 of Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.21184206.v1
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