Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Breast cancer is frequently diagnosed using ultrasound. Here, the authors show that, in addition to ultrasound, shear wave elastography can be used to diagnose breast cancer and, in conjunction with deep learning and radiomics, can predict whether the disease has spread to axillary lymph nodes.

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Autores principales:	Xueyi Zheng, Zhao Yao, Yini Huang, Yanyan Yu, Yun Wang, Yubo Liu, Rushuang Mao, Fei Li, Yang Xiao, Yuanyuan Wang, Yixin Hu, Jinhua Yu, Jianhua Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/14c419f0a9b945d79c84bcbb498ac615
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spelling	oai:doaj.org-article:14c419f0a9b945d79c84bcbb498ac6152021-12-02T16:49:43ZDeep learning radiomics can predict axillary lymph node status in early-stage breast cancer10.1038/s41467-020-15027-z2041-1723https://doaj.org/article/14c419f0a9b945d79c84bcbb498ac6152020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15027-zhttps://doaj.org/toc/2041-1723Breast cancer is frequently diagnosed using ultrasound. Here, the authors show that, in addition to ultrasound, shear wave elastography can be used to diagnose breast cancer and, in conjunction with deep learning and radiomics, can predict whether the disease has spread to axillary lymph nodes.Xueyi ZhengZhao YaoYini HuangYanyan YuYun WangYubo LiuRushuang MaoFei LiYang XiaoYuanyuan WangYixin HuJinhua YuJianhua ZhouNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Xueyi Zheng Zhao Yao Yini Huang Yanyan Yu Yun Wang Yubo Liu Rushuang Mao Fei Li Yang Xiao Yuanyuan Wang Yixin Hu Jinhua Yu Jianhua Zhou Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
description	Breast cancer is frequently diagnosed using ultrasound. Here, the authors show that, in addition to ultrasound, shear wave elastography can be used to diagnose breast cancer and, in conjunction with deep learning and radiomics, can predict whether the disease has spread to axillary lymph nodes.
format	article
author	Xueyi Zheng Zhao Yao Yini Huang Yanyan Yu Yun Wang Yubo Liu Rushuang Mao Fei Li Yang Xiao Yuanyuan Wang Yixin Hu Jinhua Yu Jianhua Zhou
author_facet	Xueyi Zheng Zhao Yao Yini Huang Yanyan Yu Yun Wang Yubo Liu Rushuang Mao Fei Li Yang Xiao Yuanyuan Wang Yixin Hu Jinhua Yu Jianhua Zhou
author_sort	Xueyi Zheng
title	Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
title_short	Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
title_full	Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
title_fullStr	Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
title_full_unstemmed	Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
title_sort	deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/14c419f0a9b945d79c84bcbb498ac615
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

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