Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images
The proposed combination of deep superpixel generation, deep superpixel clustering, and the incorporation of undersegmented seeds as a loss term improves weakly supervised segmentation.
Authors
- Farzad Khalvati (ORCID: https://orcid.org/0000-0001-5616-8660)
- Khashayar Namdar
- Jay J. Yoo
Institutions
- University of New Brunswick (CA)
- University of Toronto (CA)
- Hospital for Sick Children (CA)
- Canada Research Chairs (CA)
- Vector Institute (CA)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12880-024-01523-x
- Citations
- 5
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.25