Scribble-supervised method for cardiac tissue segmentation using position and temporal contrastive information
SPTCL effectively addresses the challenges of limited annotation in medical image segmentation by uniting contrastive learning with weak supervision. It demonstrates strong potential for practical deployment in clinical settings where high-quality labels are difficult to obtain.
Authors
- Xiaoxuan Ma (ORCID: https://orcid.org/0000-0003-0571-2659)
- Kuncheng Lian
- Yuheng Du (ORCID: https://orcid.org/0009-0004-7990-6637)
Institutions
- Beijing University of Civil Engineering and Architecture (CN)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1117/1.jmi.12.6.064002
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00