AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis
DBT has a clear additional value for diagnosing breast mass less than 2 cm compared with only DM. AI-based methods, especially deep learning, can help achieve excellent performance.
Authors
- Fei Gao
- Fandong Zhang (ORCID: https://orcid.org/0000-0003-0655-1180)
- Hong Lu (ORCID: https://orcid.org/0009-0008-5458-4095)
- Yuxin Cai (ORCID: https://orcid.org/0000-0002-0927-795X)
- Wenjuan Ma (ORCID: https://orcid.org/0000-0002-7739-4891)
- Congyi Hu
- Qian Zhou (ORCID: https://orcid.org/0000-0001-5442-3541)
- Yujuan Hao
- Jingjing Chen (ORCID: https://orcid.org/0000-0003-4252-9255)
- Zhenzhen Shao
- Ziling Yu
- Yue Shen
Institutions
- Qingdao University (CN)
- Peking University (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
- Healthwise (US)
Publication Details
- Journal
- The Breast
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1016/j.breast.2024.103805
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35