Deep learning-based multi-modal imaging for early detection of brain tumour
The proposed framework uses modality-specific CNN encoders, a Transformer based cross-modal attention module, and several fusion recipes—early fusion, late fusion, and attention-driven fusion so that tumour classification and localisation can happen at the same time.