Precision HER2: a comprehensive AI system for accurate and consistent evaluation of HER2 expression in invasive breast Cancer
We proposed a high-precision AI system to identify and filter out DCIS components and automatically evaluate HER2 expression in invasive breast cancer.
Authors
- Jiahao Feng
- Wei Zhang (ORCID: https://orcid.org/0000-0002-5111-4097)
- Kai Liu (ORCID: https://orcid.org/0000-0003-2285-6822)
- Shaoyan Liu (ORCID: https://orcid.org/0000-0002-7354-774X)
- Boan Lai
- Zhongtang Xiong (ORCID: https://orcid.org/0000-0003-0175-3138)
- Jinfeng Wang (ORCID: https://orcid.org/0000-0002-6687-9420)
- Qingxin Zhang (ORCID: https://orcid.org/0000-0002-1748-2005)
- Qingping Jiang
- Zewen Feng
Institutions
- Third Affiliated Hospital of Guangzhou Medical University (CN)
- Vision Medicals (China) (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1186/s12885-024-12980-6
- Citations
- 9
- Primary Topic
- HER2/EGFR in Cancer Research
- Type
- article
- Field-Weighted Citation Impact
- 2.54