Ultrasound-based DenseNet201 outperforms breast imaging reporting and data system and ResNet50 in predicting HER2 status in invasive breast cancer
Ultrasound-based DenseNet201 outperformed BI-RADS and ResNet50 for predicting HER2 status in IBC, offering a promising, non-invasive diagnostic tool for clinical application.
Authors
- Lina Wu (ORCID: https://orcid.org/0000-0002-7517-3606)
Institutions
- Guangzhou University of Chinese Medicine (CN)
- First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
Publication Details
- Journal
- American Journal of Translational Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.62347/fkzi5071
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangzhou University of Chinese Medicine
- Guangzhou University