Clinical values of nuclear morphometric analysis in fibroepithelial lesions
Our data suggested the digital nuclear morphometric analysis could have potentials to objectively differentiate different FELs and predict PT outcome. These findings could provide the evidence-based data to support the development of deep-learning based algorithm on nuclear morphometrics in FEL diagnosis.
Authors
- Joshua Li (ORCID: https://orcid.org/0000-0003-2425-0314)
- HC Yip
- Thomson Loong
- Conrad Lee (ORCID: https://orcid.org/0000-0001-8584-4146)
- Joanna Ng
- Gary Man-Kit Tse (ORCID: https://orcid.org/0000-0002-9405-9665)
- Julia Y. Tsang (ORCID: https://orcid.org/0000-0001-6612-9622)
Institutions
- Chinese University of Hong Kong (HK)
- Tuen Mun Hospital (CN)
- Prince of Wales Hospital (CN)
Publication Details
- Journal
- Breast Cancer Research
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1186/s13058-024-01912-8
- Citations
- 1
- Primary Topic
- Urologic and reproductive health conditions
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- Chinese University of Hong Kong