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Convolutional Neural Network Improves MS Lesion Segmentation
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YouTubeWorld Pulse
Convolutional Neural Network Improves MS Lesion Segmentation
Developers say more accurate automated multiple sclerosis lesion segmentation can improve research and patient care. A new convolutional neural network method, FLAMeS, can improve accuracy in multiple sclerosis lesion segmentation using standard diagnostic imaging. The study, published in the Journal of Neuroimaging, shows that FLAMeS ...
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