Multi-stage image pyramid network for coarse-to-fine segmentation of temporomandibular joint in CBCT images
The proposed MIP-Net achieved accurate segmentation of the TMJ in CBCT images, which may help to improve the clinical diagnosis and treatment of TMJ-OA.
Authors
- Jupeng Li (ORCID: https://orcid.org/0000-0002-2414-7440)
- Ping Hu (ORCID: https://orcid.org/0000-0003-1713-063X)
- Kai Zhang (ORCID: https://orcid.org/0000-0002-6319-3722)
- Gang Li (ORCID: https://orcid.org/0000-0001-9903-9121)
- Yong Guo (ORCID: https://orcid.org/0000-0002-2599-6970)
- Ruohan Ma
Institutions
- King University (US)
- Peking University (CN)
- Beijing Jiaotong University (CN)
- Peking University School and Hospital of Stomatology (CN)
Publication Details
- Journal
- Biomedizinische Technik/Biomedical Engineering
- Published
- 2025-07-18
- DOI
- https://doi.org/10.1515/bmt-2024-0112
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Beijing Municipal Natural Science Foundation
- Capital Health Research and Development of Special Fund