Prediction of the Damage Coefficient in a Prostate Cancer Tissue during Laser Ablation Using Artificial Neural Networks
نویسندگان
چکیده
An attempt has been made to simulate the temperature distribution in prostate cancer tissue during laser ablation using finite element approach. Parameter studies have been carried out. The results have been consolidated using tool of artificial intelligence-Artificial Neural Network. Feed forward back propagation network has been used for this purpose. It has been found that artificial neural network is capable of predicting damage coefficient with a maximum error of 4%. Keywords–finite element analysis, laser ablation, matlab, neural networks, prostate cancer
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