Coevolutionary generative adversarial networks for medical image augumentation at scale

Author:

Flores Diana1,Hemberg Erik1,Toutouh Jamal2,O'Reily Una-May3

Affiliation:

1. ALFA, MIT CSAIL

2. University of Malaga, Spain

3. ALFA, MIT CSAI

Funder

MCIN/AEI/10.13039/501100011033

EU Horizon 2020 research and innovation programme

Univ. de Malaga

TAILOR ICT-48 Network

Publisher

ACM

Reference56 articles.

1. Abdullah Al-Dujaili , Tom Schmiedlechner , Erik Hemberg , and Una-May O'Reilly . Towards distributed coevolutionary GANs . In AAAI Fall Symposium , 2018 . Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, and Una-May O'Reilly. Towards distributed coevolutionary GANs. In AAAI Fall Symposium, 2018.

2. Parallel metaheuristics: recent advances and new trends

3. Sanjeev Arora , Rong Ge , Yingyu Liang , Tengyu Ma , and Yi Zhang . Generalization and equilibrium in generative adversarial nets (GANs). arXiv preprint arXiv:1703.00573 , 2017 . Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, and Yi Zhang. Generalization and equilibrium in generative adversarial nets (GANs). arXiv preprint arXiv:1703.00573, 2017.

4. Wissam J Baddar , Geonmo Gu , Sangmin Lee , and Yong Man Ro . Dynamics transfer GAN: Generating video by transferring arbitrary temporal dynamics from a source video to a single target image. arXiv preprint arXiv:1712.03534 , 2017 . Wissam J Baddar, Geonmo Gu, Sangmin Lee, and Yong Man Ro. Dynamics transfer GAN: Generating video by transferring arbitrary temporal dynamics from a source video to a single target image. arXiv preprint arXiv:1712.03534, 2017.

5. Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images

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