MFA-Net: multi-scale feature aggregation network with background-aware module for ultrasound segmentation of thyroid nodules
These results outperform current leading models and confirm significant performance improvements. In addition, the MFAM, BAM and RDM demonstrate their robustness and adaptability in different segmentation scenarios when conducting independent ablation experiments.
Authors
- Dongfen Ye
- Xiaoliang Jiang (ORCID: https://orcid.org/0000-0003-2695-8586)
- Jianzhen Cheng
- Kun Lan (ORCID: https://orcid.org/0000-0002-1585-3722)
Institutions
- Quzhou City People's Hospital (CN)
- Quzhou University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.21037/qims-2025-1364
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00