Automatic Data Augmentation Via Deep Reinforcement Learning For Effective Kidney Tumor Segmentation

Conventional data augmentation realized by performing simple pre-processing operations (e.g., rotation, crop, etc.) has been validated for its advantage in enhancing the performance for medical image segmentation. However, the data generated by these conv
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