"Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ..."

Maximilian Fischer et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-16961-8_8

access: closed

type: Conference or Workshop Paper

metadata version: 2025-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/miccai/FischerNGXASMBK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miccai/FischerNGXASMBK22
Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI 2022: 73-83

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.