Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging-Reference-Cited by-同舟云学术

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Weakly Supervised Breast Lesions Detection in Dynamic Contrast Enhancement Magnetic Resonance Imaging

Published:2021-11-13 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Systems and Informatics (ICSAI)
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Author:

Wei Chuanling,Nie Shengdong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Science and Technology Innovation Action Plan of Shanghai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9663731/9664014/09664072.pdf?arnumber=9664072

Reference21 articles.

1. Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

2. Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics

3. Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning

4. Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images;juan;Journal of Magnetic Resonance Imaging,2019

5. Learning Deep Features for Discriminative Localization

Cited by 1 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 Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI;Journal of Imaging;2023-08-23

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