Semi-supervised segmentation of cardiac chambers from LGE-CMR using feature consistency awareness
Experiments demonstrated that our method outperforms previous semi-supervised methods, showing the potential of the proposed network for semi-supervised segmentation problems.
Authors
- Helin Huang
- Hairui Wang (ORCID: https://orcid.org/0000-0002-5853-1723)
- Kaihao Gu (ORCID: https://orcid.org/0000-0001-7459-8891)
- Nan Li (ORCID: https://orcid.org/0000-0002-2095-4181)
- Xiaomei Wu (ORCID: https://orcid.org/0000-0002-4937-7680)
- Jing Wu (ORCID: https://orcid.org/0000-0001-8619-566X)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Yiwu Science and Technology Research Institute (CN)
Publication Details
- Journal
- BMC Cardiovascular Disorders
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1186/s12872-024-04250-x
- Citations
- 4
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.74
Funders
- Fudan University
- National Key Research and Development Program of China