A significant trend in brain tumor segmentation involves using multiple MRI modalities to enhance segmentation results for example, Zhou ( 2024 ) proposed a novel multi-modalities brain tumor segmentation based on U-net, which utilized disentangled representation learning and region-aware contrastive learning.
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XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging.
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