A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints
A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include Scale-space segmentation, segmentation, deep learning, artificial intelligence, image segmentation, computer vision, superpixel, glioma, pixel, machine learning, pattern recognition, and computer science. The experimental results demonstrate that the proposed method was able to overcome the drawbacks of fewer training samples effectively and obtained remarkable brain-tumor segmentation performance.