Optimal superpixel kernel-based kernel low-rank and sparsity representation for brain tumour segmentation

HIGHLIGHTS

• who: Optimal Superpixel Kernel-Based Kernel and collaborators from the School of Science, Jinling Institute of Technology, Nanjing, China School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China have published the paper: Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation, in the Journal: Computational Intelligence and Neuroscience of 24/06/2022
• what: Inspired by the above work, in this paper, the authors propose a segmentation approach based on the optimal superpixel kernel and KLRR-SR (OSK-KLRR-SR) for brain tumour MR images.
 



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