# MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multipathgan-structure-preserving-stain-normalization-using-unsupervised-multi/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haseeb Nazki,Ognjen Arandjelović,Inhwa Um,David J. Harrison |
| Citations | 2 |
| DOI | 10.48550/arxiv.2204.09782 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2204.09782 |
| OpenAlex ID | https://openalex.org/W4224314558 |
| Type | preprint |
| Year | 2022 |

## Paper authors

- [Haseeb Nazki](https://scholariq.org/researchers/haseeb-nazki/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.