Image manifold revealing for breast lesion segmentation in DCE-MRI
Author:
Affiliation:
1. Digital Medical Research Center, Fudan University, Shanghai, China
2. Shanghai Key Lab of Medical Image Computing and Computer Assisted Intervention, Shanghai, China
Publisher
IOS Press
Subject
Biomedical Engineering,Biomaterials,General Medicine
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning;International Journal of Imaging Systems and Technology;2024-01
2. A U-Net Ensemble for breast lesion segmentation in DCE MRI;Computers in Biology and Medicine;2022-01
3. Backpropagation Neural Network for Processing of Missing Data in Breast Cancer Detection;IRBM;2021-12
4. Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging;Contrast Media & Molecular Imaging;2018-10-24
5. Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement;Computational Imaging III;2018-05-14
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