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Data Augmentation using Generative Adversarial Networks (GANs) for
  GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images
v1v2 (latest)

Data Augmentation using Generative Adversarial Networks (GANs) for GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images

5 June 2020
Saman Motamed
Patrik Rogalla
Farzad Khalvati
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Data Augmentation using Generative Adversarial Networks (GANs) for GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images"

2 / 2 papers shown
Title
Selectively increasing the diversity of GAN-generated samples
Selectively increasing the diversity of GAN-generated samplesInternational Conference on Neural Information Processing (ICONIP), 2022
Jan Dubiñski
Kamil Deja
S. Wenzel
Przemyslaw Rokita
Tomasz Trzciñski
GAN
163
12
0
04 Jul 2022
RANDGAN: Randomized Generative Adversarial Network for Detection of
  COVID-19 in Chest X-ray
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray
Saman Motamed
Patrik Rogalla
Farzad Khalvati
OODMedIm
111
67
0
06 Oct 2020
1