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Medical imaging has been critically important for the health and well-being of millions of patients. Although deep learning has been widely studied in medical imaging area and the performance of deep learning has exceeded human's performance in certain medical diagnostic tasks, detecting and diagnosing lesions still depends on the visual system of human observers (radiologists), who completed years of training to scrutinize anomalies. Routinely, radiologists sequentially read batches of medical images one after the other. A basic underlying assumption of radiologists' precise diagnosis is that their perceptions and decisions on a current medical image are completely independent from the previous reading history of medical images. However, recent research proposed that the human visual system has visual serial dependencies (VSDs) at many levels. VSD means that what was seen in the past influences …