Multi‐pathway fusion network for early‐stage breast tumor segmentation from MRI
Overall, MPNet demonstrates satisfying performance on segmenting early-stage breast tumors with tiny sizes by preserving boundary details and enhancing contextual information. Extensive experiments demonstrate that MPNet outperforms state-of-the-art methods for enhancing early breast cancer intervention.
Authors
- Yongzhong Lin (ORCID: https://orcid.org/0000-0002-6615-6011)
- Yeru Xia (ORCID: https://orcid.org/0000-0002-7203-1952)
- Wenzhi Zhao (ORCID: https://orcid.org/0000-0002-3125-2310)
- Wenlong Liu
- Fei Teng (ORCID: https://orcid.org/0000-0001-9620-0450)
- Ning Qu (ORCID: https://orcid.org/0000-0001-5670-4451)
Institutions
- Dalian Medical University (CN)
- Dalian University of Technology (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
- Liaoning Cancer Hospital & Institute (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1002/mp.17823
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundamental Research Funds for the Central Universities