APA (7th ed.) Citation

Y, L., X, L., J, M., N, T. R., V, V., T, V., . . . M, R. (2025). Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 31(3), . https://doi.org/10.1093/mam/ozaf044

Chicago Style (17th ed.) Citation

Y, Lin, Li X, Milovanović J, Todorović Raković N, Vranes V, Vujasinović T, Kanjer K, and Radulovic M. "Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology." Microscopy and Microanalysis : The Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 31, no. 3 (2025). https://doi.org/10.1093/mam/ozaf044.

MLA (9th ed.) Citation

Y, Lin, et al. "Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology." Microscopy and Microanalysis : The Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, vol. 31, no. 3, 2025, https://doi.org/10.1093/mam/ozaf044.