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Inferring a Third Spatial Dimension from 2D Histological Images
Histological images are obtained by transmitting light through a tissue specimen that has been stained in order to produce contrast.
Domain-adversarial neural networks to address the appearance variability of histopathology images
Preparing and scanning histopathology slides consists of several steps, each with a multitude of parameters.
Adversarial training and dilated convolutions for brain MRI segmentation
To this end, we include an additional loss function that motivates the network to generate segmentations that are difficult to distinguish from manual segmentations.
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