Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models

Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein. Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2023 - Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Informatik Aktuell, pages 245, Springer, 2023. [doi]

@inproceedings{FischerNGXASMBK23,
  title = {Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models},
  author = {Maximilian Fischer and Peter F. Neher and Michael Götz and Shuhan Xiao and Silvia Dias Almeida and Peter Schüffler and Alexander Muckenhuber and Rickmer Braren and Jens Kleesiek and Marco Nolden and Klaus H. Maier-Hein},
  year = {2023},
  doi = {10.1007/978-3-658-41657-7_53},
  url = {https://doi.org/10.1007/978-3-658-41657-7_53},
  researchr = {https://researchr.org/publication/FischerNGXASMBK23},
  cites = {0},
  citedby = {0},
  pages = {245},
  booktitle = {Bildverarbeitung für die Medizin 2023 - Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023},
  editor = {Thomas M. Deserno and Heinz Handels and Andreas Maier and Klaus H. Maier-Hein and Christoph Palm and Thomas Tolxdorff},
  series = {Informatik Aktuell},
  publisher = {Springer},
  isbn = {978-3-658-41657-7},
}