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Preoperative Non-Invasive Prediction of Breast Cancer Molecular Subtypes With a Deep Convolutional Neural Network on Ultrasound Images

PURPOSE: This study aimed to develop a deep convolutional neural network (DCNN) model to classify molecular subtypes of breast cancer from ultrasound (US) images together with clinical information. METHODS: A total of 1,012 breast cancer patients with 2,284 US images (center 1) were collected as the...

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Detalles Bibliográficos
Autores principales:	Li, Chunxiao, Huang, Haibo, Chen, Ying, Shao, Sihui, Chen, Jing, Wu, Rong, Zhang, Qi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339685/ https://www.ncbi.nlm.nih.gov/pubmed/35924158 http://dx.doi.org/10.3389/fonc.2022.848790

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