Early prostate cancer diagnosis by using artificial neural networks and support vector machines

Author:

Çınar Murat,Engin Mehmet,Engin Erkan Zeki,Ziya Ateşçi Y.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference15 articles.

1. Artificial Neural Networks for decision-making in urologic oncology;Anagnostou;European Urology,2003

2. Support vector machines for automated gait classification;Begg;IEEE Transactions on Biomedical Engineering,2005

3. Artificial neural networks for predictive modelling in prostate cancer;Gamito,2003

4. Making large-scale SVM learning practical to be published in advances in kernel methods – support vector learning;Joachims,1998

5. Prediction of progression nomograms of clinical utility;Katton;Clinical Prostate Cancer,2002

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