A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer
Sushant Patkar(National Institutes of Health), Joel T. Moncur, Shyh‐Han Tan(Uniformed Services University of the Health Sciences), Cara C. Schafer(Uniformed Services University of the Health Sciences), Denise Young(Henry M. Jackson Foundation), Jiji Jiang(Henry M. Jackson Foundation), Francisco J. Rentas, Rosina T. Lis(Dana-Farber Cancer Institute), Stephanie A. Harmon(National Institutes of Health), G. Thomas Brown(National Cancer Institute), Barış Türkbey(National Cancer Institute), György Petrovics(Centre National de la Recherche Scientifique), Peter L. Choyke(National Cancer Institute), Sally Elsamanoudi(Henry M. Jackson Foundation), Gregory T. Chesnut(Uniformed Services University of the Health Sciences), Albert Dobi(Henry M. Jackson Foundation), John D. McGeeney, Kimberly M. Greenfield, Peter Pinto(National Institutes of Health), Maria Merino(National Institutes of Health), Isabell A. Sesterhenn
Cited by 9