mlsanityData to 14 Oct 2026

Neural Stain-Style Transfer Learning using GAN for Histopathological Images

arXiv 1710.08543 ↗First posted 23 Oct 2017cs.CV cs.AI cs.LGcited by 18

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Abstract (arXiv)

Performance of data-driven network for tumor classification varies with stain-style of histopathological images. This article proposes the stain-style transfer (SST) model based on conditional generative adversarial networks (GANs) which is to learn not only the certain color distribution but also the corresponding histopathological pattern. Our model considers feature-preserving loss in addition to well-known GAN loss. Consequently our model does not only transfers initial stain-styles to the desired one but also prevent the degradation of tumor classifier on transferred images. The model is examined using the CAMELYON16 dataset.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2017.

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Citing papers per year: 2021: 3; 2022: 5; 2023: 5; 2024: 2; 2025: 3.

18 papers.

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  1. 2023Artificial Intelligence for Digital and Computational Pathologycited by 108
  2. 2022BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixcited by 61
  3. 2021Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learningcited by 7
  4. 2023Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Reviewcited by 7
  5. 2024StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Imagescited by 6
  6. 2021Deep Learning-based Frozen Section to FFPE Translationcited by 5
  7. 2022H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regressioncited by 5
  8. 2022Augment like there's no tomorrow: Consistently performing neural networks for medical imagingcited by 5
  9. 2025Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challengescited by 5
  10. 2022HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathologycited by 3
  11. 2023Generative Adversarial Networks for Stain Normalisation in Histopathologycited by 3
  12. 2022Deep learning based domain adaptation for mitochondria segmentation on EM volumescited by 2
6 more
  1. 2025MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classificationcited by 2
  2. 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathologycited by 1
  3. 2021Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Imagescited by 0
  4. 2023ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)cited by 0
  5. 2023ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalizationcited by 0
  6. 2025Staining normalization in histopathology: Method benchmarking using multicenter datasetcited by 0