HE-to-PAS histological stain conversion by GAN in renal pathology

Author:

Lysik Mateusz1,Swiderska-Chadaj Zaneta1ORCID,Markiewicz Tomasz1ORCID,Les Tomasz1ORCID,Cierniak Szczepan2ORCID,Lorent Malgorzata2

Affiliation:

1. Faculty of Electrical Engineering Warsaw University of Technology,Warsaw,Poland

2. Military Institute of Medicine, Warsaw,Department of Pathology,Warsaw,Poland

Publisher

IEEE

Reference23 articles.

1. The malicious use of artificial intelligence: Forecasting, prevention, and mitigation;brundage;ArXiv Preprint,2018

2. Automatic generation of graphical game assets using GAN

3. Image-to-Image Translation with Conditional Adversarial Networks

4. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

5. Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling;wu;Proceedings of the 30th International Confer-ence on Neural Information Processing Systems,0

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1. Exploring the Role of Generative Adversarial Networks (GANs) in Image Translation using Load Balancer Interface Application;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

2. DEPAS: De-novo Pathology Semantic Masks using a Generative Model;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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