Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs

Author:

Segal BradleyORCID,Rubin David M.,Rubin Grace,Pantanowitz Adam

Publisher

Springer Science and Business Media LLC

Reference58 articles.

1. Abdal R, Qin Y, Wonka P. Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019;pp. 4431–4440. IEEE, Seoul, Korea (South) . https://doi.org/10.1109/ICCV.2019.00453

2. Adam A, Dixon AK, Gillard JH, Schaefer-Prokop C, Grainger RG. Current status of thoracic imaging. In: Grainger & Allison’s diagnostic radiology: a textbook of medical imaging, 2021;p. 3. Elsevier.

3. Arjovsky M, Bottou L. Towards principled methods for training generative adversarial networks. arXiv:1701.04862 [cs, stat]. 2017.

4. Beers A, Brown J, Chang K, Campbell JP, Ostmo S, Chiang MF, Kalpathy-Cramer J. High-resolution medical image synthesis using progressively grown generative adversarial networks. arXiv:1805.03144 [cs] 2018.

5. Bowles C, Chen L, Guerrero R, Bentley P, Gunn R, Hammers A, Dickie DA, Hernández MV, Wardlaw J, Rueckert D. GAN augmentation: augmenting training data using generative adversarial networks. arXiv:1810.10863 [cs] 2018.

Cited by 22 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. Synthetic data generation methods in healthcare: A review on open-source tools and methods;Computational and Structural Biotechnology Journal;2024-12

2. SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN;International Journal of Computational Intelligence Systems;2024-07-09

3. Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging;2024 35th Irish Signals and Systems Conference (ISSC);2024-06-13

4. A review of deep learning and Generative Adversarial Networks applications in medical image analysis;Multimedia Systems;2024-05-28

5. Bias Inheritance and its Amplification in GAN-Based Synthetic Data Augmentation for Skin Lesion Classification;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3