Skeletal muscle manual segmentation remains the bottleneck limiting the more systematic use of quantitative NMR imaging in neuromuscular patients. Muscle automatic segmentation software which has been proposed so far has not provided with adequate solutions. Deep convolutional neural network (CNN) segmentation techniques are revolutionizing the field of image processing. Among advantages, they do not require any prior selection of features, i.e. explicit descriptors of local image information, nor any explicit anatomical model.

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