Differentiation of Benign and Malignant Breast Lesions Based on Multimodal MRI and Deep Learning

Differentiation of Benign and Malignant Breast Lesions Based on Multimodal MRI and Deep Learning

To improve the accuracy of computer aided diagnosis (CAD) based on dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) in the differentiation of benign and malignant breast lesions, this study proposed a convolutional neural network model (AC_Ulsam_CNN) that is based on multi-modal featur...

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Bibliographic Details
Main Authors: YANG Yi-feng, QI Zhang-xuan, NIE Sheng-dong
Format: Article
Language:zho
Published: Science Press 2022-12-01
Series:Chinese Journal of Magnetic Resonance
Subjects:
dynamic contrast enhanced magnetic resonance imaging
convolutional neural network
multimodal feature fusion
breast lesions
differentiation of benign and malignant lesions
Online Access:http://121.43.60.238/bpxzz/article/2022/1000-4556/20220403.shtml

Internet

http://121.43.60.238/bpxzz/article/2022/1000-4556/20220403.shtml

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