A two-stage approach that uses fully convolutional neural networks to first extract the brain from the images and second identifies WMH within the brain. Both stages implement long and short skip connections. The second stage produces output at three different scales. Data augmentation was applied, including rotations and mirroring.Presentation of this method.
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