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.
A new promptable diffusion-enhanced framework achieved 98.1% classification accuracy and a 93.2% Dice score for explainable ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results