A Dual-Attention and Uncertainty-Aware Deep Learning Framework for Clinically Trusted Brain Tumor Segmentation
Although brain tumour segmentation is essential for medical image analysis, reliable and accurate segmentation with clinical and routine quality appears to be difficult because of the heterogeneity of the tumour, the lack of clear boundaries and the noise within the images. Current deep learning (DL) models have been p...