Synthetic Generation of 3D Microscopy Images using Generative Adversarial Networks
Author:
Affiliation:
1. Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Tecnico, Universidade de Lisboa,Lisbon,Portugal
2. Instituto de Medicina Molecular, Universidade de Lisboa,Joao lobo Antunes, Faculdade de Medicina,Lisbon,Portugal
Funder
Fundacao para a Ciencia e a Tecnologia (FCT)
European Research Council
Fondation LeDucq
FCT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871631.pdf?arnumber=9871631
Reference12 articles.
1. GANs for medical image analysis
2. Artificial intelligence for microscopy: what you should know
3. Joint Segmentation and Pairing of Nuclei and Golgi in 3D Microscopy Images
4. Image-to-Image Translation with Conditional Adversarial Networks
5. GAN s trained by a two time-scale update rule converge to a local nash equilibrium;heusel;Advances in neural information processing systems,2017
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