"e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical ..."

Hongwei Li et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-07-17

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2001-09313
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2001-09313
Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation. CoRR abs/2001.09313 (2020)

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.