A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer

Sushant Patkar, Stephanie Harmon*, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris TurkbeyJoel T. Moncur

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Fingerprint

Dive into the research topics of 'A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer'. Together they form a unique fingerprint.

Medicine & Life Sciences

Engineering & Materials Science