Deep learning-powered multi-parametric ultrasound for classifying metastatic versus reactive axillary lymph nodes
The integration of multi-parametric ultrasound imaging with deep learning network can remarkably improve the classification of metastatic and non-metastatic ALNs in breast cancer patients.
Authors
- Nicholas Bradley Larson (ORCID: https://orcid.org/0000-0002-3468-4215)
- Manali Saini
- Azra Alizad (ORCID: https://orcid.org/0000-0002-7658-1572)
- Mostafa Fatemi (ORCID: https://orcid.org/0000-0002-6603-9077)
- Claire Graham
- Tanin Adl Parvar (ORCID: https://orcid.org/0009-0008-2500-0572)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Breast Cancer Research
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1186/s13058-025-02138-y
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00