Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study

BACKGROUND: Preoperative determination of breast cancer molecular subtypes facilitates individualized treatment plan-making and improves patient prognosis. We aimed to develop an assembled convolutional neural network (ACNN) model for the preoperative prediction of molecular subtypes using multimoda...

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Detalles Bibliográficos
Autores principales: Zhou, Bo-Yang, Wang, Li-Fan, Yin, Hao-Hao, Wu, Ting-Fan, Ren, Tian-Tian, Peng, Chuan, Li, De-Xuan, Shi, Hui, Sun, Li-Ping, Zhao, Chong-Ke, Xu, Hui-Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599999/
https://www.ncbi.nlm.nih.gov/pubmed/34773890
http://dx.doi.org/10.1016/j.ebiom.2021.103684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599999/
https://www.ncbi.nlm.nih.gov/pubmed/34773890
http://dx.doi.org/10.1016/j.ebiom.2021.103684

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