Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study
We developed and validated a DL model based on the largest available dataset to assist in diagnosing PTs. This model has the potential to allow radiologists to discriminate 2 types of breast tumours which are challenging to identify with precision and accuracy, and subsequently to make more informed decisions about surgical plans.
Authors
- Di Ou (ORCID: https://orcid.org/0000-0002-6987-7180)
- Dong Xu (ORCID: https://orcid.org/0000-0002-0583-240X)
- Qianmeng Pan
- Jing Chen (ORCID: https://orcid.org/0000-0003-2941-0524)
- Yifan Wang (ORCID: https://orcid.org/0000-0001-5626-488X)
- Liping Wang (ORCID: https://orcid.org/0000-0002-9282-2751)
- Chen Chen (ORCID: https://orcid.org/0000-0003-2104-534X)
- Hui Wang (ORCID: https://orcid.org/0009-0000-1266-7572)
- Sui Lin
- Xiaofang Liu (ORCID: https://orcid.org/0000-0001-7644-5979)
- Yukai Wang (ORCID: https://orcid.org/0000-0003-2468-3208)
- Yuanzhen Liu (ORCID: https://orcid.org/0000-0002-6988-2481)
- Jincao Yao (ORCID: https://orcid.org/0000-0003-1543-6010)
- Tian Jiang (ORCID: https://orcid.org/0000-0002-1117-8942)
- Lingyan Zhou (ORCID: https://orcid.org/0000-0002-4529-7018)
- Ying Su (ORCID: https://orcid.org/0000-0001-8355-4903)
- Yuqi Yan (ORCID: https://orcid.org/0009-0002-9071-2441)
- Lina Feng
Institutions
- Zunyi Medical University (CN)
- Chinese Academy of Sciences (CN)
- Wenzhou Medical University (CN)
- Zhejiang Cancer Hospital (CN)
- Zhejiang Taizhou Hospital (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1093/bjr/tqae147
- Citations
- 1
- Primary Topic
- Breast Lesions and Carcinomas
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Health Commission of the People's Republic of China