Efficient Anomaly Detection with Generative Adversarial Network for Breast Ultrasound Imaging

We aimed to use generative adversarial network (GAN)-based anomaly detection to diagnose images of normal tissue, benign masses, or malignant masses on breast ultrasound. We retrospectively collected 531 normal breast ultrasound images from 69 patients. Data augmentation was performed and 6372 (531...

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Bibliographic Details
Published in:Diagnostics (Basel)
Main Authors: Fujioka, Tomoyuki, Kubota, Kazunori, Mori, Mio, Kikuchi, Yuka, Katsuta, Leona, Kimura, Mizuki, Yamaga, Emi, Adachi, Mio, Oda, Goshi, Nakagawa, Tsuyoshi, Kitazume, Yoshio, Tateishi, Ukihide
Format: Artigo
Language:Inglês
Published: MDPI 2020
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7400007/
https://ncbi.nlm.nih.gov/pubmed/32635547
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10070456
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