Automatic deep learning method for detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging

BACKGROUND: The purpose of this study was to develop a deep learning-based system with a cascade feature pyramid network for the detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). METHODS: This retrospective study enrolled 191 consecutiv...

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Detalles Bibliográficos
Autores principales: Gao, Weibo, Chen, Jixin, Zhang, Bin, Wei, Xiaocheng, Zhong, Jinman, Li, Xiaohui, He, Xiaowei, Zhao, Fengjun, Chen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102757/
https://www.ncbi.nlm.nih.gov/pubmed/37064362
http://dx.doi.org/10.21037/qims-22-323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102757/
https://www.ncbi.nlm.nih.gov/pubmed/37064362
http://dx.doi.org/10.21037/qims-22-323

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