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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400007/
https://www.ncbi.nlm.nih.gov/pubmed/32635547
http://dx.doi.org/10.3390/diagnostics10070456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400007/
https://www.ncbi.nlm.nih.gov/pubmed/32635547
http://dx.doi.org/10.3390/diagnostics10070456

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