GSDA: Generative adversarial network-based semi-supervised data augmentation for ultrasound image classification

Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical practice, but its usage presents unique challenges such as variable imaging quality. Deep Learning (DL) models can serve as advanced medical US image analysis tools, but their performance is greatly limited by the...

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Detalles Bibliográficos
Autores principales: Liu, Zhaoshan, Lv, Qiujie, Lee, Chau Hung, Shen, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558834/
https://www.ncbi.nlm.nih.gov/pubmed/37809802
http://dx.doi.org/10.1016/j.heliyon.2023.e19585

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558834/
https://www.ncbi.nlm.nih.gov/pubmed/37809802
http://dx.doi.org/10.1016/j.heliyon.2023.e19585

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