Curia-MAE is a multi-modal, multi-anatomy masked autoencoder whose frozen encoder modestly improves 3D segmentation over its MAE baseline, with the largest gains on lesion tasks.
In: Proceedings of the IEEE/CVF international conference on computer vision
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Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation
Curia-MAE is a multi-modal, multi-anatomy masked autoencoder whose frozen encoder modestly improves 3D segmentation over its MAE baseline, with the largest gains on lesion tasks.