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This document summarizes a study that used a convolutional neural network (CNN) to classify brain hemispheres as left or right based on MRI images. The CNN was trained on 287 MRI images and achieved 97.59% accuracy on cross-validation and 97% accuracy on an independent test set of 118 images. When applied to grey matter images from 927 left-handed and 927 right-handed individuals, the CNN was unable to distinguish hemispheres based on handedness, suggesting there may be no significant structural differences

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