Medical image segmentation network based on a multisize convolutional kernel association strategy
The CKASnet model represents a significant advancement in medical image segmentation technology, offering enhanced flexibility and performance. Its innovative CKAS demonstrates its potential to improve clinical diagnostic outcomes and pathological analysis.
Authors
- Biao Cai (ORCID: https://orcid.org/0000-0001-7355-0220)
- Zhihao Lu
- Mingyang Liu (ORCID: https://orcid.org/0000-0002-7427-2709)
- Mingzhe Liu (ORCID: https://orcid.org/0000-0001-7054-997X)
- Xinyi Xu (ORCID: https://orcid.org/0009-0001-0674-9528)
Institutions
- Wenzhou University (CN)
- Chengdu University of Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1002/mp.17730
- Citations
- 1
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- National Natural Science Foundation of China