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Medical video is important for medical diagnosis. However, due to the influence of the network bandwidth and hardware equipment, some medical videos have low resolution, which is not conducive for diagnosing early diseases with small lesions. Medical videos with super-resolutions can help doctors clearly observe small lesions and increase the likelihood of diagnosing and curing diseases. In this paper, we propose an advanced medical video super-resolution method based on an asymmetricdoi:10.1109/access.2021.3054433 fatcat:fyju5efvdbe5fd4q35i7m3d7vq