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An Example for Domain Adaptation Using CycleGAN

arXiv 2601.08776 ↗First posted 13 Jan 2026cs.CV cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 4 references that are in the map. First posted on arXiv 13 Jan 2026.

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References · 3

  1. 2018BACH: Grand Challenge on Breast Cancer Histology Imagescited by 131
  2. 2021A Petri Dish for Histopathology Image Analysiscited by 63
  3. 2023Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Coloncited by 10

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