Automatic Nodule Segmentation Method for CT Images Using Aggregation-U-Net Generative Adversarial Networks
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://link.springer.com/content/pdf/10.1007/s11220-020-00304-4.pdf
Reference37 articles.
1. Wang, G., Yu, H. Y., & De Man, B. (2008). An outlook on X-ray CT research and development. Medical Physics, 35(3), 1051–1064. https://doi.org/10.1118/1.2836950.
2. Armato, S. G., Giger, M. L., Moran, C. J., Blackburn, J. T., Doi, K., & MacMahon, H. (1999). Computerized detection of pulmonary nodules on CT scans. Radiographics, 19(5), 1303–1311. https://doi.org/10.1148/radiographics.19.5.g99se181303.
3. Kostis, W. J., Reeves, A. P., Yankelevitz, D. F., & Henschke, C. I. (2003). Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images. IEEE Transactions on Medical Imaging, 22(10), 1259–1274. https://doi.org/10.1109/Tmi.2003.817785.
4. Kuhnigk, J. M., Dicken, V., Bornemann, L., Bakai, A., Wormanns, D., Krass, S., et al. (2006). Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans. IEEE Transactions on Medical Imaging, 25(4), 417–434. https://doi.org/10.1109/Tmi.2006.871547.
5. Reeves, A. P., Chan, A. B., Yankelevitz, D. F., Henschke, C. I., Kressler, B., & Kostis, W. J. (2006). On measuring the change in size of pulmonary nodules. IEEE Transactions on Medical Imaging, 25(4), 435–450. https://doi.org/10.1109/Tmi.2006.871548.
Cited by 21 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. MAST-UNet: More adaptive semantic texture for segmenting pulmonary nodules;Biomedical Signal Processing and Control;2025-01
2. Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine;Skin Research and Technology;2024-08-27
3. ALE-GAN: A 3D Conditional Generative Adversarial Network with Attention Learning Modules for Lung Nodule Segmentation;Lecture Notes in Networks and Systems;2024
4. Attention and Residual-Atrous Convolutional Learning-Based CNN Architecture for Lung Nodule Segmentation and Classification;Lecture Notes in Networks and Systems;2024
5. An Attention Learning-Enabled 3D Conditional Generative Adversarial Network for Lung Nodule Segmentation;Algorithms for Intelligent Systems;2024
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