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Achieving over 96% of fully supervised segmentation performance with less than 0.6% of annotated data could revolutionize the efficiency of material screening in research.
Achieve real-time super-resolution ultrasound without labeled data using CycleULM, a CycleGAN-based framework that boosts image contrast by 15.3 dB and localization precision by 46%.
