Application of Machine Learning Based on Ultrasonic <scp>RF</scp> Time Series and <scp>2D</scp> Image Features in the Diagnosis of <scp>BI</scp> ‐ <scp>RADS 4A</scp> Lesions of Breast
The integration of RF time series and 2D features via LR demonstrates potential to reduce unnecessary biopsies by enhancing diagnostic precision, particularly for less experienced clinicians.
Authors
- Ruifang Guo (ORCID: https://orcid.org/0000-0002-0756-3549)
- Linxue Qian (ORCID: https://orcid.org/0000-0001-7116-0608)
- Pengfei Sun (ORCID: https://orcid.org/0000-0002-1465-5310)
- Xuebin Cao (ORCID: https://orcid.org/0000-0003-1492-0775)
- Zhixiang Wang (ORCID: https://orcid.org/0000-0002-9091-2673)
- Xiangdong Hu (ORCID: https://orcid.org/0000-0003-4841-4264)
Institutions
- Capital Medical University (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Journal of Ultrasound in Medicine
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1002/jum.70097
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48