MP-ViT uses dual transformers and cross-attention on axial and sagittal MRI to classify hemorrhages, reporting 5.5% higher AUC than standard ViT and 1.8% higher than CNNs on a dataset of 12,869 subjects.
Object detection in medical images based on hierarchical transformer and mask mechanism
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Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data
MP-ViT uses dual transformers and cross-attention on axial and sagittal MRI to classify hemorrhages, reporting 5.5% higher AUC than standard ViT and 1.8% higher than CNNs on a dataset of 12,869 subjects.