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Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods

Medical imaging systems are commonly assessed and optimized by use of objective measures of image quality (IQ). The Ideal Observer (IO) performance has been advocated to provide a figure-of-merit for use in assessing and optimizing imaging systems because the IO sets an upper performance limit among...

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Vydáno v:IEEE Trans Med Imaging
Hlavní autoři: Zhou, Weimin, Li, Hua, Anastasio, Mark A.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7768793/
https://ncbi.nlm.nih.gov/pubmed/32746143
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.3009022
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