An unlabeled autoencoder that separates shadows from content in fetal ultrasound images, trained by predicting synthetic shadows, matches a small supervised baseline.
SegNet : A deep convolutional encoder-decoder architecture for image segmentation
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Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows
An unlabeled autoencoder that separates shadows from content in fetal ultrasound images, trained by predicting synthetic shadows, matches a small supervised baseline.