LungDepth: Self‐Supervised Multi‐Frame Monocular Depth Estimation for Bronchoscopy
Our monocular depth estimation approach for bronchoscopy achieves superior performance in terms of error and accuracy, and passes physical model validations, which can facilitate further research into intelligent bronchoscopic procedures.
Authors
- Jingsheng Xu (ORCID: https://orcid.org/0009-0003-9870-9543)
- Bo Guan (ORCID: https://orcid.org/0000-0002-0936-4172)
- Bo Yi (ORCID: https://orcid.org/0000-0002-7291-849X)
- Jianmin Li (ORCID: https://orcid.org/0000-0003-3315-6813)
- Jianchang Zhao (ORCID: https://orcid.org/0000-0003-2979-648X)
Institutions
- Central South University (CN)
- Tianjin University (CN)
- Third Xiangya Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- International Journal of Medical Robotics and Computer Assisted Surgery
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/rcs.70050
- Primary Topic
- Advanced Vision and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China