Role of artificial intelligence in integrated analysis of multi-omics and imaging data in cancer research
- PMID: 35117055
- PMCID: PMC8797959
- DOI: 10.21037/tcr.2019.12.17
Role of artificial intelligence in integrated analysis of multi-omics and imaging data in cancer research
Conflict of interest statement
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tcr.2019.12.17). EYC serves as the Editor-in-Chief of Translational Cancer Research. The other authors have no conflicts of interest to declare.
Comment on
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Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.Cell Rep. 2018 Apr 3;23(1):181-193.e7. doi: 10.1016/j.celrep.2018.03.086. Cell Rep. 2018. PMID: 29617659 Free PMC article.
References
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- Vial A, Stirling D, Field M, et al. The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review. Transl Cancer Res 2018;7:803-16. 10.21037/tcr.2018.05.02 - DOI
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