DSA‐Former: A Network of Hybrid Variable Structures for Liver and Liver Tumour Segmentation
Our method offers enhanced precision in segmenting liver and liver tumour images, laying a robust foundation for liver cancer diagnosis and treatment.
Authors
- Jun Qin (ORCID: https://orcid.org/0000-0002-8186-5705)
- Guihe Qin (ORCID: https://orcid.org/0000-0002-2472-4324)
- Fei He (ORCID: https://orcid.org/0000-0002-3284-9506)
- Huizhen Luo (ORCID: https://orcid.org/0009-0008-5100-688X)
Institutions
- Changchun University of Science and Technology (CN)
- Jilin University (CN)
- Jilin Province Science and Technology Department (CN)
Publication Details
- Journal
- International Journal of Medical Robotics and Computer Assisted Surgery
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1002/rcs.70004
- Citations
- 1
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Natural Science Foundation of Jilin Province