Automated segmentation and classification of supraspinatus fatty infiltration in shoulder magnetic resonance image using a convolutional neural network.

Furthermore, the female group exhibited a higher frequency of samples in higher grades compared to the male group, although this disparity did not reach statistical significance.

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However, the (almost insignificant) reduction of performance is valid as the proposed model completely automates the process of identifying the level of fatty infiltration, reducing hence the need for lengthily process of manual segmentation of the ROI of the supraspinatus muscle.

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