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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...
Guardat en:
| Publicat a: | Diagnostics (Basel) |
|---|---|
| Autors principals: | , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | 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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