%0 Book Section %1 Bauer2024-ta %A Bauer, Markus %A Augenstein, Christoph %B Lecture Notes in Computer Science %C Cham %D 2024 %I Springer Nature Switzerland %K cancer grading histopathology learning prostate self-supervised topic_lifescience yaff %P 348--360 %T Self-supervised learning in histopathology: New perspectives for prostate cancer grading

@incollection{Bauer2024-ta, added-at = {2025-01-08T11:30:08.000+0100}, address = {Cham}, author = {Bauer, Markus and Augenstein, Christoph}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/22d0d5ed073b9fabd99f66a7a30e5b617/scadsfct}, booktitle = {Lecture Notes in Computer Science}, copyright = {https://www.springernature.com/gp/researchers/text-and-data-mining}, interhash = {11a5d525e247791a710b9a62279819d8}, intrahash = {2d0d5ed073b9fabd99f66a7a30e5b617}, keywords = {cancer grading histopathology learning prostate self-supervised topic_lifescience yaff}, pages = {348--360}, publisher = {Springer Nature Switzerland}, series = {Lecture notes in computer science}, timestamp = {2025-07-29T10:50:14.000+0200}, title = {Self-supervised learning in histopathology: New perspectives for prostate cancer grading}, year = 2024 }