A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma: original article

To develop and validate an interpretable deep learning model to predict overall and disease-specific survival (OS/DSS) in clear cell renal cell carcinoma (ccRCC).

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Bibliographic Details
Main Authors:	Wessels, Frederik (Author) , Schmitt, Max (Author) , Krieghoff-Henning, Eva (Author) , Nientiedt, Malin (Author) , Waldbillig, Frank (Author) , Neuberger, Manuel (Author) , Kriegmair, Maximilian (Author) , Kowalewski, Karl-Friedrich (Author) , Worst, Thomas (Author) , Steeg, Matthias (Author) , Popovic, Zoran V. (Author) , Gaiser, Timo (Author) , Kalle, Christof von (Author) , Utikal, Jochen (Author) , Fröhling, Stefan (Author) , Michel, Maurice Stephan (Author) , Nuhn, Philipp (Author) , Brinker, Titus Josef (Author)
Format:	Article (Journal)
Language:	English
Published:	August 2023
In:	World journal of urology Year: 2023, Volume: 41, Issue: 8, Pages: 2233-2241
ISSN:	1433-8726
DOI:	10.1007/s00345-023-04489-7
Online Access:	Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00345-023-04489-7 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00345-023-04489-7
Author Notes:	Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Malin Nientiedt, Frank Waldbillig, Manuel Neuberger, Maximilian C. Kriegmair, Karl-Friedrich Kowalewski, Thomas S. Worst, Matthias Steeg, Zoran V. Popovic, Timo Gaiser, Christof von Kalle, Jochen S. Utikal, Stefan Fröhling, Maurice S. Michel, Philipp Nuhn, Titus J. Brinker

Description
Summary:	To develop and validate an interpretable deep learning model to predict overall and disease-specific survival (OS/DSS) in clear cell renal cell carcinoma (ccRCC).
Item Description:	Online veröffentlicht: 29. Juni 2023 Gesehen am 08.04.2024
Physical Description:	Online Resource
ISSN:	1433-8726
DOI:	10.1007/s00345-023-04489-7