"Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and ..."

Jessica Kächele et al. (2024)

> Home

Details and statistics

DOI: 10.1007/978-3-031-83274-1_3

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/miccai/KacheleZRUWM24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miccai/KacheleZRUWM24
Jessica Kächele, Maximilian Zenk, Maximilian Rokuss, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy. HNTS-MRG@MICCAI 2024: 50-64

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.