Boundary aware microscopic hyperspectral pathology image segmentation network guided by information entropy weight
This advance has significant implications for the field of MHSIs segmentation. Our code is freely available at https://github.com/sharycao/BE-NET.
Authors
- Hongmin Gao (ORCID: https://orcid.org/0000-0002-8404-2464)
- Xueying Cao
- Ping Zhang (ORCID: https://orcid.org/0000-0002-8330-2164)
- Min Zhu (ORCID: https://orcid.org/0000-0001-5900-5330)
- Peipei Xu (ORCID: https://orcid.org/0000-0002-7035-6745)
- Ting Qin
Institutions
- Nanjing Normal University (CN)
- Hohai University (CN)
- Shanghai University of Finance and Economics (CN)
- Nanjing Drum Tower Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3389/fonc.2025.1549544
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72