HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
Author:
Affiliation:
1. University of St Andrews,School of Computer Science
2. University of St Andrews,School of Medicine
Funder
Innovate UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030547.pdf?arnumber=10030547
Reference56 articles.
1. Use of highplex data reveals novel insights into the tumour microenvironment of clear cell renal cell carcinoma;de filippis,2022
2. Hoechst is all you need: Lymphocyte classification with deep learning;cooper,2021
3. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
4. Immunofluorescence Staining
5. Deep learning-based transformation of H&E stained tissues into special stains
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