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Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research. Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical practice and research. While substantial progress has been made in different areas of content-baseddoi:10.4137/cin.s14053 pmid:26309389 pmcid:PMC4533857 fatcat:axi6x7234ncwrowi3zs6j7dl7a