Attention-enhanced residual U-Net: lymph node segmentation method with bimodal MRI images
In this study, ERU-Net successfully achieved the segmentation of LN in uterine MRI images. Compared with other segmentation networks, our network has the best segmentation effect on uterine LN. This provides a valuable reference for doctors to develop more effective and efficient treatment plans.
Authors
- Yongping Lin (ORCID: https://orcid.org/0000-0002-3564-7184)
- Jihoon Hong (ORCID: https://orcid.org/0000-0003-3389-244X)
- Binhua Dong (ORCID: https://orcid.org/0000-0002-5086-0696)
- Min Li (ORCID: https://orcid.org/0000-0002-7113-2700)
- Chunxia Chen (ORCID: https://orcid.org/0000-0003-0832-4264)
- Jian Qiu (ORCID: https://orcid.org/0000-0002-9514-5936)
- Shangyue Xu
Institutions
- Fujian Medical University (CN)
- University of Chicago (US)
- Fuzhou Maternity and Child Health Care Hospital (CN)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1186/s12938-025-01400-w
- Citations
- 1
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.28