Improving ultrasonographic diagnosis of prostate cancer with neural networks.

  title={Improving ultrasonographic diagnosis of prostate cancer with neural networks.},
  author={Alvaro L. Ronco and Roberto Torres Fern{\'a}ndez},
  journal={Ultrasound in medicine & biology},
  volume={25 5},
To improve ultrasonographic diagnosis of prostate cancer, the authors evaluated the performance of an optimized backpropagation artificial neural network (ANN) in predicting an outcome (cancer-not cancer) from recorded information on patients admitted for transrectal ultrasonography (TRUS) performed in our Center. A total of 442 cases with complete information were selected for the study. After preselecting 17 variables (age, PSA, previous clinical diagnosis, and 14 ultrasonographic ones… CONTINUE READING
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