Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection

29 Mar 2019Changhee HanLeonardo RundoRyosuke ArakiYujiro FurukawaGiancarlo MauriHideki NakayamaHideaki Hayashi

Due to the lack of available annotated medical images, accurate computer-assisted diagnosis requires intensive Data Augmentation (DA) techniques, such as geometric/intensity transformations of original images; however, those transformed images intrinsically have a similar distribution to the original ones, leading to limited performance improvement. To fill the data lack in the real image distribution, we synthesize brain contrast-enhanced Magnetic Resonance (MR) images---realistic but completely different from the original ones---using Generative Adversarial Networks (GANs)... (read more)

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