AI Enhances Brain Tumor Segmentation Through Multi-Modal Fusion

This research explores a semi-supervised approach to improve brain tumor segmentation using multiple imaging modalities. The focus on modality-specific enhancement and complementary fusion suggests a sophisticated methodology for addressing a complex medical imaging problem.

• •Semi-supervised learning is employed to address the challenge of limited labeled data in medical imaging.
• •The research utilizes multi-modal data, likely MRI, to improve segmentation accuracy.
• •Modality-specific enhancement and fusion techniques are key to the proposed methodology.