A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis
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DOI: 10.1007/s10489-020-02051-1
Abstract: The purpose of this study was to establish and validate a new deep learning system that generates quantitative computed tomography (CT) reports for the diagnosis of pulmonary tuberculosis (PTB) in clinic. 501 CT imaging datasets… read more here.
Keywords: pulmonary tuberculosis; ptb; learning system; deep learning ... See more keywords