Artificially-generated consolidations and balanced augmentation increase performance of U-net for lung parenchyma segmentation on MR images

To improve automated lung segmentation on 2D lung MR images using balanced augmentation and artificially-generated consolidations for training of a convolutional neural network (CNN). From 233 healthy volunteers and 100 patients, 1891 coronal MR images were acquired. Of these, 1666 images without co...

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