Adversarial deep structured nets for mass segmentation from mammograms-Reference-Cited by-同舟云学术

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Adversarial deep structured nets for mass segmentation from mammograms

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
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Author:

Zhu Wentao,Xiang Xiang,Tran Trac D.,Hager Gregory D.,Xie Xiaohui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8359997/8363198/08363704.pdf?arnumber=8363704

Cited by 98 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. A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images;Neural Computing and Applications;2024-05-17

2. Understanding GANs: fundamentals, variants, training challenges, applications, and open problems;Multimedia Tools and Applications;2024-05-14

3. A multi-task fusion model based on a residual–Multi-layer perceptron network for mammographic breast cancer screening;Computer Methods and Programs in Biomedicine;2024-04

4. Mammography with deep learning for breast cancer detection;Frontiers in Oncology;2024-02-12

5. Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size;Journal of Imaging;2024-01-09

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