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Style-Driven Data Synthesis and Degradation-Aware Enhancement for Ultrasound Image Restoration
Low-cost handheld ultrasound devices can be widely deployed compared to professional hospital ultrasound machines. However, their images suffer from compound degradation that can mislead clinical judgment. Motivated by this observation, mapping handheld low-quality (LQ) to hospital high-quality (HQ)
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