Detection of infarcts using trained network
Abstract:
A system and method includes acquisition of a first plurality of images, determination, for each of the first plurality of images, of whether an infarct is depicted in the image and generating a label associated with the image based on the determination, acquisition of a second plurality of non-contrast-enhanced computed tomography images, determination, for each of the second plurality of non-contrast-enhanced computed tomography images, of a corresponding one of the first plurality of images, association of each of the second plurality of non-contrast-enhanced computed tomography images with the label associated with its corresponding one of the first plurality of images, and training of a neural network to output a network-generated label, the training based on the second plurality of non-contrast-enhanced computed tomography images and associated labels.
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