UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated their MRI boundaries on two public datasets.

An integrated residual encoder-decoder framework achieved Dice scores of 0.9100 for whole tumor and 0.8151 for enhancing ...

Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and classification of brain tumors from MRI scans, achieving higher accuracy than ...