Direct deep learning analysis of three-dimensional automated breast ultrasound videos with reading mode optimization for breast cancer diagnosis
DL-3DABUV achieves diagnostic performance comparable to experienced radiologists and enhances diagnostic accuracy for novices. Concurrent reading provides a more efficient workflow by reducing reading time while maintaining diagnostic performance.
Authors
- Lizhuang Liu (ORCID: https://orcid.org/0000-0001-8032-4598)
- Rui Ge
- Yun Pang (ORCID: https://orcid.org/0000-0002-7144-646X)
- Weiping Li (ORCID: https://orcid.org/0000-0002-4839-2854)
- Lin Chen (ORCID: https://orcid.org/0000-0002-0237-2137)
- Yingchun Liu (ORCID: https://orcid.org/0000-0003-2392-9114)
- Yuqing Guo (ORCID: https://orcid.org/0009-0008-7320-2793)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-0633-4314)
- Changyan Wang
Institutions
- Shanghai University (CN)
- Chinese Academy of Sciences (CN)
- Fudan University (CN)
- Huadong Hospital (CN)
- Shanghai Advanced Research Institute (CN)
Publication Details
- Journal
- ULTRASONOGRAPHY
- Published
- 2025-11-10
- DOI
- https://doi.org/10.14366/usg.25096
- Primary Topic
- Ultrasound Imaging and Elastography
- Type
- article
- Field-Weighted Citation Impact
- 0.00