Artificial intelligence system for predicting prostate cancer lesions from shear wave elastography measurements

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SUMMARY

    Prostate cancer (PCa) is the most common malignancy diagnosed in Western men, and represents the second highest cause of cancer death in men. Deep learning is a very innovative tool, using multi-layer neural_networks to develop high-precision predictive models. 1.The ofof the dense neural_network. Classification Algorithm Accuracy Score Sensitivity Specificity Logistic regression Decision tree classifier Dense neural_network After applying the authors have obtained well-balanced dataset; bydataset; retraining the deep neural_network SMOTE, the authors have aobtained a well-balanced by retraining the deep neuralclassifier, network the prediction was slightly improved, reaching anreaching . . .

     

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