Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search

Ma, J., He, N., Yoon, J. H., Ha, R., Li, J., Ma, W., Meng, T., Lu, L., Schwartz, L. H., Wu, Y., Ye, Z., Wu, P., Zhao, B., & Xie, C. (2021). Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search. European Journal of Radiology, 142, 109878. https://doi.org/10.1016/j.ejrad.2021.109878
Authors:
Jingchen Ma
Ni He
Jin H. Yoon
Richard Ha
Jiao Li
Weimei Ma
Tiebao Meng
Lin Lu
Lawrence H. Schwartz
Yaopan Wu
Zhaoxiang Ye
Peihong Wu
Binsheng Zhao
Chuanmiao Xie
Affiliated Authors:
Jingchen Ma
Jin H. Yoon
Richard Ha
Lin Lu
Lawrence H. Schwartz
Binsheng Zhao
Columbia Affiliation:
Subjects:
Deep Learning (MeSH)
Author Keywords:
artificial intelligence
breast
deep learning
neural networks
computed tomography
x-ray
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Publication Type:
Article
Unique ID:
10.1016/j.ejrad.2021.109878
PMID:
34388626
DOI:
10.1016/j.ejrad.2021.109878
Journal:
European Journal of Radiology
Publication Date:
Data Source:
Scopus
Source Link:
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Record Created: