Multi-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures
Our multi-scale-based 3D CNN framework provides a reliable method for automated landmark detection in maxillofacial CT images, showing potential for other clinical applications.
Authors
- Euisung Jung
- Jaemyung Ahn (ORCID: https://orcid.org/0000-0002-1803-460X)
- Yoosoo Jeong (ORCID: https://orcid.org/0000-0001-8022-0975)
- Chanho Song (ORCID: https://orcid.org/0000-0002-6647-2452)
- Jaebum Son (ORCID: https://orcid.org/0000-0001-6954-1479)
- Jee-Woong Park (ORCID: https://orcid.org/0000-0002-2830-313X)
- Jun‐Young Paeng (ORCID: https://orcid.org/0000-0002-0104-9338)
- Hyungkyu Huh
Institutions
- Electronics and Telecommunications Research Institute (KR)
- Samsung Medical Center (KR)
- Daegu-Gyeongbuk Medical Innovation Foundation (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-11-20
- DOI
- https://doi.org/10.3390/diagnostics14222605
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00