Ideal-Observer Performance under Signal and Background Uncertainty
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-45087-0_29
Reference11 articles.
1. Barrett, H.H., Abbey, C.K.: Bayesian Detection of Random Signals on Random Backgrounds. In: 4th International Conference on Information Processing in Medical Imaging (1997)
2. Barrett, H.H., Abbey, C.K., Clarkson, E.: Objective assessment of image quality III: ROC metrics, ideal observers, and likelihood- generating functions. J. Opt. Soc. Am. A 15, 1520–1535 (1998)
3. Barrett, H.H., Abbey, C.K., Clarkson, E.: Some unlikely properties of the likelihood ratio and its logarithm. In: Proc. SPIE 3340 (1998)
4. Clarkson, E., Barrett, H.H.: Approximation to ideal-observer performance on signal-detection tasks. Applied Optics 39, 1783–1794 (2000)
5. Clarkson, E.: Bounds on the area under the receiver operating characteristic curve for the ideal observer. J. Opt. Soc. Am. A 19, 1963–1968 (2001)
Cited by 10 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. Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods;PET Clinics;2021-10
2. Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networks;Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment;2019-03-04
3. Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods;Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment;2019-03-04
4. Model observer for assessing digital breast tomosynthesis for multi-lesion detection in the presence of anatomical noise;Physics in Medicine & Biology;2018-02-16
5. Collimator optimization in myocardial perfusion SPECT using the ideal observer and realistic background variability for lesion detection and joint detection and localization tasks;Physics in Medicine and Biology;2016-02-19
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