A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods

The ideal observer (IO) sets an upper performance limit among all observers and has been advocated for assessing and optimizing imaging systems. For general joint detection and estimation (detection-estimation) tasks, estimation ROC (EROC) analysis has been established for evaluating the performance...

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Detalles Bibliográficos
Autores principales: Li, Kaiyan, Zhou, Weimin, Li, Hua, Anastasio, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128572/
https://www.ncbi.nlm.nih.gov/pubmed/34898433
http://dx.doi.org/10.1109/TMI.2021.3135147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128572/
https://www.ncbi.nlm.nih.gov/pubmed/34898433
http://dx.doi.org/10.1109/TMI.2021.3135147

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