Value of deep learning model for predicting Breast Imaging Reporting and Data System 3 and 4A lesions on mammography
The mammography-based DL model significantly improved the diagnostic performance of junior radiologists for BI-RADS 3 and 4A lesions, effectively reducing missed diagnoses and unnecessary biopsies.
Authors
- Yuting Yang (ORCID: https://orcid.org/0000-0003-2077-2780)
- Rushan Ouyang
- Yunshu Zhou (ORCID: https://orcid.org/0000-0002-3389-4624)
- Xiaohui Lin (ORCID: https://orcid.org/0000-0003-1747-1485)
- Jie Ma (ORCID: https://orcid.org/0000-0002-7432-3238)
- Tingting Liao (ORCID: https://orcid.org/0000-0002-6846-3306)
- Xiaohui Lai
Institutions
- Sun Yat-sen University (CN)
- Jinan University (CN)
- Shenzhen Luohu People's Hospital (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-30
- DOI
- https://doi.org/10.21037/qims-24-1523
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48