Preoperatively predicting human epidermal growth factor receptor 2-low expression in breast cancer using neural network model based on multiparameter magnetic resonance imaging
The neural network model based on MRI features is an effective tool in predicting HER2-low breast cancer, which may facilitate clinical treatment decision-making.
Authors
- Rina Hui (ORCID: https://orcid.org/0000-0003-0696-7442)
- Suhong Zhao
- Guodong Pang (ORCID: https://orcid.org/0000-0002-2622-1616)
- Zhanlong Zheng (ORCID: https://orcid.org/0000-0002-5995-8200)
- Xiaojuan Wang (ORCID: https://orcid.org/0000-0002-2617-6317)
- Peipei Chen (ORCID: https://orcid.org/0009-0008-3200-3173)
Institutions
- Second Hospital of Shandong University (CN)
- Cixian People's Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-12-01
- DOI
- https://doi.org/10.21037/qims-24-428
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Shandong University