Efficient labeling for fine‐tuning chest X‐ray bone‐suppression networks for pediatric patients
The proposed fully automated pediatric bone-suppression network, together with the proposed distance transform-based bone-edge detection network, can automatically acquire bone and soft-tissue images solely from CXR images for pediatric patients and has the potential to help diagnose pneumonia in children.
Authors
- Meng Gan (ORCID: https://orcid.org/0000-0002-4757-6598)
- Mujiao Li
- Weijie Xie (ORCID: https://orcid.org/0000-0002-4024-3619)
- Wei Yang (ORCID: https://orcid.org/0000-0002-2161-3231)
- Xiao Tan (ORCID: https://orcid.org/0000-0001-8132-9796)
- Wenhui Wang (ORCID: https://orcid.org/0000-0003-2263-9633)
Institutions
- Guangzhou First People's Hospital (CN)
- Southern Medical University (CN)
- South China University of Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1002/mp.17516
- Citations
- 2
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.81