GANs 'N Lungs: improving pneumonia prediction

Apr 12, 2019 MIDL 2019 Conference Abstract Submission readers: everyone Show Bibtex
  • Keywords: X-ray medical image classification, data augmentation, CycleGAN
  • TL;DR: We propose CycleGAN-based augmentation method to improve model performance in binary classification tasks in biomedical field
  • Abstract: We propose a novel method to improve deep learning model performance on highly-imbalanced tasks. The proposed method is based on CycleGAN to achieve balanced dataset. We show that data augmentation with GAN helps to improve accuracy of pneumonia binary classification task even if the generative network was trained on the same training dataset.
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  • Remove If Rejected: Remove submission from public view if paper is rejected.
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