SpecNet: A hyperspectral band-learning method for slice-level differentiation of fibroadenoma and phyllodes tumor
SpecNet demonstrated robust differentiation between FA and PT using ex-vivo HSI data from a single institution. Although external and prospective validation are needed, the method shows potential for clinical applications such as biopsy triage and intraoperative margin assessment.
Authors
- Ziyuan Sun (ORCID: https://orcid.org/0000-0003-3669-0341)
- Guangxi Shi
- Wenjie Zhang (ORCID: https://orcid.org/0000-0002-7470-3011)
- Jingwei Li (ORCID: https://orcid.org/0000-0002-6129-2751)
- Zihan Liu (ORCID: https://orcid.org/0009-0007-8455-843X)
- Mengdi Zhang (ORCID: https://orcid.org/0000-0002-3239-4804)
- Minmin Yu (ORCID: https://orcid.org/0000-0003-3385-4603)
- Mengqiu Zhang (ORCID: https://orcid.org/0000-0003-1662-4785)
- Dongqing Pu
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Photodiagnosis and Photodynamic Therapy
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1016/j.pdpdt.2025.105261
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00