Humberto Sossa

Coupled Fourier Neural Operator and Vision Transformer Bottleneck for Parameter-Efficient Brain Tumor Segmentation

Segmenting brain tumor subregions in multimodal MRI is difficult due to severe class imbalance and scarce annotated data, and current state-of-the-art models require 21.3–31 million parameters to reach a whole-tumor Dice of 0.906–0.921. We propose a parameter-efficient 2D encoder...