"Multi-institutional PET/CT image segmentation using federated deep ..."

Isaac Shiri et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.CMPB.2023.107706

access: open

type: Journal Article

metadata version: 2023-11-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/cmpb/ShiriRSASFBGVZ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cmpb/ShiriRSASFBGVZ23
Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, Peter Boor, Deniz Gündüz, Slava Voloshynovskiy, Habib Zaidi:
Multi-institutional PET/CT image segmentation using federated deep transformer learning. Comput. Methods Programs Biomed. 240: 107706 (2023)

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.