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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Detalhes bibliográficos
Publicado no: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
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
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Article
Acesso em linha: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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