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For: Badea L, Stănescu E. Identifying transcriptomic correlates of histology using deep learning. PLoS One 2020;15:e0242858. [PMID: 33237966 DOI: 10.1371/journal.pone.0242858] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Howard FM, Dolezal J, Kochanny S, Schulte J, Chen H, Heij L, Huo D, Nanda R, Olopade OI, Kather JN, Cipriani N, Grossman RL, Pearson AT. The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun 2021;12:4423. [PMID: 34285218 DOI: 10.1038/s41467-021-24698-1] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Lu C, Shiradkar R, Liu Z. Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review. Chin J Cancer Res 2021;33:563-73. [PMID: 34815630 DOI: 10.21147/j.issn.1000-9604.2021.05.03] [Reference Citation Analysis]