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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Dettagli Bibliografici
Pubblicato in:Diagnostics (Basel)
Autori principali: Fujioka, Tomoyuki, Kubota, Kazunori, Mori, Mio, Kikuchi, Yuka, Katsuta, Leona, Kimura, Mizuki, Yamaga, Emi, Adachi, Mio, Oda, Goshi, Nakagawa, Tsuyoshi, Kitazume, Yoshio, Tateishi, Ukihide
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2020
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Article
Accesso online: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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