MRI‐Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning

Background Deep learning (DL) have been reported feasible in breast MRI. However, the effectiveness of DL method in mpMRI combinations for breast cancer detection has not been well investigated. Purpose To implement a DL method for breast cancer classification and detection using feature extraction...

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Veröffentlicht in:	Journal of magnetic resonance imaging Jg. 59; H. 1; S. 148 - 161
Hauptverfasser:	Cong, Chao, Li, Xiaoguang, Zhang, Chunlai, Zhang, Jing, Sun, Kaixiang, Liu, Lianluyi, Ambale‐Venkatesh, Bharath, Chen, Xiao, Wang, Yi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.01.2024 Wiley Subscription Services, Inc
Schlagworte:	Artificial neural networks Breast cancer breast MRI Classification computer‐aided detection Contrast agents Contrast media Deep learning Feature extraction Females Field strength Histopathology Lesions Localization Machine learning Magnetic resonance imaging Medical imaging multiparametric MRI Neural networks Population studies Sensitivity Statistical analysis Statistical tests multiparametric MRI breast MRI deep learning breast cancer computer-aided detection
ISSN:	1053-1807, 1522-2586, 1522-2586
Online-Zugang:	Volltext
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