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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Detaylı Bibliyografya
Yayımlandı:Diagnostics (Basel)
Asıl Yazarlar: Fujioka, Tomoyuki, Kubota, Kazunori, Mori, Mio, Kikuchi, Yuka, Katsuta, Leona, Kimura, Mizuki, Yamaga, Emi, Adachi, Mio, Oda, Goshi, Nakagawa, Tsuyoshi, Kitazume, Yoshio, Tateishi, Ukihide
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI 2020
Konular:
Article
Online Erişim: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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