"YOLO-V5 based deep learning approach for tooth detection and segmentation ..."

Busra Beser et al. (2024)

> Home

Details and statistics

DOI: 10.1186/S12880-024-01338-W

access: open

type: Journal Article

metadata version: 2024-07-15

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bmcmi/BeserRBTGKDCKB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bmcmi/BeserRBTGKDCKB24
Busra Beser, Tugba Reis, Merve Nur Berber, Edanur Topaloglu, Esra Gungor, Münevver Coruh Kilic, Sacide Duman, Özer Çelik, Alican Kuran, Ibrahim Sevki Bayrakdar:
YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition. BMC Medical Imaging 24(1): 172 (2024)

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.