Prognosis of prostate gland morphology study using artificial neural network

Prognosis of prostate gland morphology study using artificial neural network

The research goal is to optimize the management of patients with serum PSA level falling in the range of 4-10 ng/ ml by designing and educating of an artificial neural network, which may be used to predict prostate gland morphology basing on clinical, laboratory and imaging data. Material and method...

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Bibliographic Details
Main Authors: Popkov V.M., Shatylko T.V., Fomkin R.N.
Format: Article
Language:Russian
Published: Saratov State Medical University 2014-06-01
Series:Саратовский научно-медицинский журнал
Subjects:
artificial neural networks
prostate cancer
PSA
Online Access:http://www.ssmj.ru/system/files/2014_02_328-332.pdf

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