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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Bibliografski detalji
Izdano u:Diagnostics (Basel)
Glavni autori: 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
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Article
Online pristup: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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