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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Saratov State Medical University
2014-06-01
|
| Series: | Саратовский научно-медицинский журнал |
| Subjects: | |
| Online Access: | http://www.ssmj.ru/system/files/2014_02_328-332.pdf |