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SYSTEM AND METHOD FOR MRI IMAGE SYNTHESIS FOR THE DIAGNOSIS OF PARKINSON'S DISEASE USING DEEP LEARNING
SYSTEM AND METHOD FOR MRI IMAGE SYNTHESIS FOR THE DIAGNOSIS OF PARKINSON'S DISEASE USING DEEP LEARNING
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机译：深度学习诊断帕金森氏病的MRI图像合成系统和方法
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摘要
Systems and methods for diagnosis of Parkinson's disease (PD) using machine learning are disclosed. In one embodiment, a method may include receiving, on at least one processor, data, comprising one or more Magnetic Resonance Images (MRI) from a human subject; preprocessing the one or more MRIs; applying one or more Convolutional Neural Networks (CNNs) to perform image analysis of the one or more MRIs; applying one or more Generative Adversarial Networks (GANs) to augment a dataset of artificial scans for classification training; outputting, using the at least one processor, a classification based on the one or more MRI images a diagnosis of the subject for PD.
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