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V. E. Jesi

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Open access Jul 2026

Multimodal Brain Tumour Classification and Segmentation Using a Dual-Attention Swin-UNet with Quantum-Inspired Optimisation for MRI-Based Diagnostics

A Multimodal Brain Tumour Classification and Segmentation framework based on a Dual-Attention Swin-UNet architecture, enhanced with a Quantum-Inspired Optimisation (QIO) technique, to overcome limitations in transformer-based medical imaging models.

Anirban Mondal, V. E. Jesi · DMPedia Lecture Notes in Com... · 0 citations