SYSTEM FOR PREDICTING PATHOLOGICAL STAGE OF PROSTATE CANCER BASED ON DEEP BELIEF NETWORK AND DEMPSTER-SHAFER THEORY AND METHOD THEREOF

摘要

The present invention relates to a system for predicting a pathological stage of a prostate cancer based on a deep belief network (DBN) and a Dempster-Shafer (DS) theory, to predict the pathology of the prostate cancer with an inference theory, and a method thereof. According to the present invention, the system comprises: a pretreatment unit pretreating each of a prostate specific antigen (PSA), a Gleason score, and a clinical T stage, which are used as input data, into a multi-input variable of the DBN; a DBN unit learning and predicting each of PSA, Gleason score, and clinical T stage data pretreated by the pretreatment unit; and a DS inference unit using the DS theory to linearly combine prediction values of the DBN unit with respect to the PSA, the Gleason score, and the clinical T stage to predict the pathological stage of the prostate cancer.;COPYRIGHT KIPO 2020