The orientation-aware UDA framework improves brain tumor classification on target post-contrast T1 MRI by using view-specific CNNs, feature alignment via MMD, and pseudo-label guidance from multi-modal source domains.
In: 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 406–414, (2018)
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Orientation-Aware Unsupervised Domain Adaptation for Brain Tumor Classification Across Multi-Modal MRI
The orientation-aware UDA framework improves brain tumor classification on target post-contrast T1 MRI by using view-specific CNNs, feature alignment via MMD, and pseudo-label guidance from multi-modal source domains.