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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Auteurs principaux: Bo-Yang Zhou, Li-Fan Wang, Hao-Hao Yin, Ting-Fan Wu, Tian-Tian Ren, Chuan Peng, De-Xuan Li, Hui Shi, Li-Ping Sun, Chong-Ke Zhao, Hui-Xiong Xu
Format: article
Langue:EN
Publié: Elsevier 2021
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R
Accès en ligne:https://doaj.org/article/29369f25cc1f4b5fa9bd98e9c1b2f059
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