"Learning from Multiple Experts with Random Forests: Application to the ..."

Pierre Chatelain et al. (2013)

> Home

Details and statistics

DOI: 10.1007/978-3-642-40763-5_29

access: open

type: Conference or Workshop Paper

metadata version: 2020-05-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/miccai/ChatelainPPAPBN13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miccai/ChatelainPPAPBN13
Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab:
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. MICCAI (2) 2013: 230-237

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.