Automated 3D Brain Tumor Segmentation using Attention U-Net with Multi-Task Regularization on Multiparametric MRI
In order to make accurate distinctions within gliomas - specifically necrosis, edema, and enhancement - accurate segmentation of these regions from multiple MRI types is required. This task has proven difficult because of how heavily class imbalance affects voxels in this imaging modality, combined with its high degree...