Deep Learning-Based Radiomics of B-Mode Ultrasonography and Shear-Wave Elastography: Improved Performance in Breast Mass Classification

Deep Learning-Based Radiomics of B-Mode Ultrasonography and Shear-Wave Elastography: Improved Performance in Breast Mass Classification

ObjectiveShear-wave elastography (SWE) can improve the diagnostic specificity of the B-model ultrasonography (US) in breast cancer. However, whether deep learning-based radiomics signatures based on the B-mode US (B-US-RS) or SWE (SWE-RS) could further improve the diagnostic performance remains to b...

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Bibliographic Details
Main Authors: Xiang Zhang, Ming Liang, Zehong Yang, Chushan Zheng, Jiayi Wu, Bing Ou, Haojiang Li, Xiaoyan Wu, Baoming Luo, Jun Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Oncology
Subjects:
deep learning
radiomics
ultrasonography
shear-wave elastography
breast neoplasms
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01621/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.01621/full

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