"Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a ..."

Ismail Gümüssoy et al. (2025)

> Home

Details and statistics

DOI: 10.1186/S12880-025-01797-9

access: open

type: Journal Article

metadata version: 2025-07-10

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bmcmi/GumussoyHDKSCB25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bmcmi/GumussoyHDKSCB25
Ismail Gümüssoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalik, Seyda Say, Özer Çelik, Ibrahim Sevki Bayrakdar:
Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility. BMC Medical Imaging 25(1): 217 (2025)

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.