Cross‐scan fusion network: A registration‐based framework for annotation‐efficient 3D ultrasound segmentation in low back pain assessment
CSFN enables accurate, automated segmentation of anatomical tissue layers in 3D ultrasound scans with minimal manual annotations, potentially accelerating the clinical evaluation and management of cLBP.
Authors
- Ryan Nussbaum
- Allison Bean (ORCID: https://orcid.org/0000-0003-0133-9316)
- Maya Maurer (ORCID: https://orcid.org/0000-0002-6483-2872)
- John M. Cormack (ORCID: https://orcid.org/0000-0003-2403-6043)
- Zixue Zeng
- Jiantao Pu
- Xin Meng
- Xiaoyan Zhao
- Pengyu Chen
- Zhiyu Sheng
- Kang Kim
- Emily Landis‐Walkenhorst
- Maryam Satapour
- Ajay D. Wasan
Institutions
- University of Pittsburgh (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1002/mp.70304
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00