HU-based foreground masking, which trains masked image models only on subvolumes with mean intensity above 0.1, improves downstream 3D medical segmentation Dice by 0.3 to 2.9 points over random masking baselines.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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HU-based Foreground Masking for 3D Medical Masked Image Modeling
HU-based foreground masking, which trains masked image models only on subvolumes with mean intensity above 0.1, improves downstream 3D medical segmentation Dice by 0.3 to 2.9 points over random masking baselines.