Adversarial Confidence Learning for Medical Image Segmentation and Synthesis
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s11263-020-01321-2.pdf
Reference68 articles.
1. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein GAN. arXiv preprint arXiv:1701.07875.
2. Chaitanya, K., Karani, N., Baumgartner, C. F., Becker, A., Donati, O., & Konukoglu, E. (2019). Semi-supervised and task-driven data augmentation. In International conference on information processing in medical imaging (pp. 29–41). Springer.
3. Chen, C., Dou, Q., Chen, H., & Heng, P. A. (2018a). Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation. In International workshop on machine learning in medical imaging (pp. 143–151). Springer.
4. Chen, H., Qi, X., Yu, L., & Heng, P. A. (2016). DCAN: Deep contour-aware networks for accurate gland segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2487–2496).
5. Chen, L. C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018b). Encoder–decoder with atrous separable convolution for semantic image segmentation. In Proceedings of the European conference on computer vision (ECCV) (pp. 801–818).
Cited by 39 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. M4SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection;Expert Systems with Applications;2024-08
2. Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative;Medical Image Analysis;2024-04
3. Open Set Recognition in Real World;International Journal of Computer Vision;2024-03-07
4. Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation;International Journal of Computer Vision;2024-02-22
5. Cross2SynNet: cross-device–cross-modal synthesis of routine brain MRI sequences from CT with brain lesion;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-02-05
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