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Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture

Study Overview The research investigates the effectiveness of a convolutional neural network (CNN) specifically using a U-Net architecture for the

Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture Read Post »

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