Detection of Prostate Cancer from Multiparametric Magnetic Resonance Imaging
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چکیده
In this study, a multiparametric magnetic resonance image (MRI) based technique of detecting prostate cancer is developed. A machine learning algorithm, based on random forest is used to classify the normal and cancer regions. Three features extracted from dynamic contrast enhanced MRI and two features extracted from diffusion tensor MRI is used to train the classifier. The classifier is trained to detect prostate cancer in the peripheral zone and using the trained classifier, cancer probability map is generated for the entire prostate gland.
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