A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma.

Frederik WesselsMax SchmittEva Krieghoff-HenningMalin NientiedtFrank WaldbilligManuel NeubergerMaximilian C KriegmairKarl-Friedrich KowalewskiThomas S WorstMatthias SteegZoran V PopovicTimo GaiserChristof von KalleJochen S UtikalStefan FröhlingMaurice S MichelPhilipp NuhnTitus Josef Brinker
Published in: World journal of urology (2023)
The DINO-ViT can identify high-risk patients using histological images of ccRCC. This model might improve individual risk-adapted renal cancer therapy in the future.