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Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations
In this paper, we propose a deep learning-based method to segment the skeletal structures in the micro-CT images of Dutch-Belted rabbit fetuses which can assist in the assessment of drug-induced skeletal abnormalities as a required study in developmental and reproductive toxicology (DART).
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
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