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titleOfInvention System and method of evaluating neural networks to segment medical images
abstract The first objective comparison of automated and human segmentation of magnetic resonance images, or MRI, using a blinded controlled assessment study. Computers connected over a network divide duties including computerized segmenting of the images, manual segmenting of the images, comparison of the computer segmented images and the manually segmented images, and scoring of the images for accuracy. The scores are evaluated to update configuration parameters of a neural network.
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