Search Results for author:
Found 2 papers, 1 papers with code
Editable Stain Transformation Of Histological Images Using Unpaired GANs
Double staining in histopathology, particularly for metaplastic breast cancer, typically employs H&E and P63 dyes.
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network
In the domain of unsupervised image-to-image transformation using generative transformative models, CycleGAN has become the architecture of choice.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
