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Group Equivariant Generative Adversarial Networks
Recent improvements in generative adversarial visual synthesis incorporate real and fake image transformation in a self-supervised setting, leading to increased stability and perceptual fidelity.
Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
We train our network on up to 300 whole slide images with marker inks and show that 70% of the corrected image patches are indistinguishable from originally uncontaminated image tissue to a human expert.
Generative Adversarial Network
Image-to-Image Translation
+2
Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures
We showed that substantial classification accuracy is gained by using such networks compared to two simpler ones previously proposed for this purpose.
