An Example for Domain Adaptation Using CycleGAN
Abstract
Cycle-Consistent Adversarial Network (CycleGAN) is very promising in domain adaptation. In this report, an example in medical domain will be explained. We present struecture of a CycleGAN model for unpaired image-to-image translation from microscopy to pseudo H\&E stained histopathology images.
Fields of Study & Subjects
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
AI in cancer detection
Publication details
- Journal / source
- arXiv (Cornell University)
- Publication date
- 13 January 2026
- Document type
- Preprint