mlsanityData to 7 Oct 2026

Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance

arXiv 2008.02101 ↗First posted 5 Aug 2020eess.IV cs.CVcited by 22

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Abstract (arXiv)

Although generative adversarial network (GAN) based style transfer is state of the art in histopathology color-stain normalization, they do not explicitly integrate structural information of tissues. We propose a self-supervised approach to incorporate semantic guidance into a GAN based stain normalization framework and preserve detailed structural information. Our method does not require manual segmentation maps which is a significant advantage over existing methods. We integrate semantic information at different layers between a pre-trained semantic network and the stain color normalization network. The proposed scheme outperforms other color normalization methods leading to better classification and segmentation performance.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Aug 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 7; 2023: 5; 2024: 1; 2025: 0; 2026: 3.

22 papers.

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  1. 2022Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysiscited by 29
  2. 2021Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentationcited by 22
  3. 2021CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysiscited by 8
  4. 2023A comparative evaluation of image-to-image translation methods for stain transfer in histopathologycited by 7
  5. 2021Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentationcited by 5
  6. 2022Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classificationcited by 5
  7. 2021Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learningcited by 4
  8. 2022MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Losscited by 4
  9. 2021Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learningcited by 3
  10. 2023Generative Adversarial Networks for Stain Normalisation in Histopathologycited by 3
  11. 2023GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentationcited by 3
  12. 2022Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classificationcited by 2
10 more
  1. 2022Stain Isolation-based Guidance for Improved Stain Translationcited by 2
  2. 2023A Laplacian Pyramid Based Generative H&E Stain Augmentation Networkcited by 2
  3. 2024Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Imagescited by 2
  4. 2021Dysplasia grading of colorectal polyps through CNN analysis of WSIcited by 1
  5. 2022Improved Super Resolution of MR Images Using CNNs and Vision Transformerscited by 1
  6. 2022Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysiscited by 0
  7. 2023ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalizationcited by 0
  8. 2026ConceptACT: Episode-Level Concepts for Sample-Efficient Robotic Imitation Learningcited by 0
  9. 2026StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalizationcited by 0
  10. 2026Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Gradingcited by 0