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: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Pro- cessing (MLSP)
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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.