Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms-Reference-Cited by-同舟云学术

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Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms

Published:2022-01 Issue:1 Volume:41 Page:225-236
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Lee Juhun^ORCID,Nishikawa Robert M.

Funder

National Institute of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9666751/09525406.pdf?arnumber=9525406

Cited by 20 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. Intelligent breast cancer diagnosis with two-stage using mammogram images;Scientific Reports;2024-07-19

2. Early Detection of Breast Cancer using Deep Learning in Mammograms;Journal of Pioneering Medical Science;2024-04-29

3. Breast lesion detection scheme for low gadolinium dose DCE-MRI using radon cumulative distribution transform and domain transfer: preliminary results;Medical Imaging 2024: Computer-Aided Diagnosis;2024-04-03

4. Correlation between Mammographic GAN Artifacts and Patient Characteristics;Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications;2024-04-02

5. Breast Cancer Detection: Challenges and Future Research Developments;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

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