arXiv:1908.00433

GANs 'N Lungs: improving pneumonia prediction

Tatiana Malygina, Elena Ericheva, Ivan Drokin

제출 2019-08-01

원문 초록

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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