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Due to the complexity of clinical breast cancer imaging systems, their validation and optimization are challenging tasks, which require both preclinical and clinical studies. This is particularly true for systems used in breast cancer screening due to the low prevalence of disease in a screening population. Validation for screening requires clinical trials involving very large numbers of volunteer
