Learning from adversarial medical images for X-ray breast mass segmentation

Author:

Shen Tianyu,Gou Chao,Wang Fei-Yue,He Zilong,Chen Weiguo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference63 articles.

1. Guest editorial deep learning in medical imaging: overview and future promise of an exciting new technique;Greenspan;IEEE Trans. Med. Imaging,2016

2. Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification;Frid-Adar;Neurocomputing,2018

3. Generalization of deep neural networks for chest pathology classification in x-rays using generative adversarial networks;Salehinejad,2018

4. Seamless lesion insertion for data augmentation in cad training;Pezeshk;IEEE Trans. Med. Imaging,2017

5. C. Gou, T. Shen, W. Zheng, K. Oliver, F.Y. Wang, Parallel medical imaging: a new data-knowledge-driven evolutionary framework for medical image analysis, (2019) arXiv:1903.04855.

Cited by 32 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 Intensive Review on Propagative Antagonistic N/W which is used in Health Care System;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

2. Application of generative adversarial networks in image, face reconstruction and medical imaging: challenges and the current progress;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-03-31

3. PalScDiff: A diffusion-based framework with progressive augmentation learning and semantic consistency for breast ultrasound tumor segmentation;Journal of Intelligent & Fuzzy Systems;2024-03-23

4. The use of generative adversarial networks in medical image augmentation;Neural Computing and Applications;2023-10-15

5. Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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