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Deep Q-learning to globally optimize a k-D parameter search for medical imaging

BACKGROUND: Estimation of the global optima of multiple model parameters is valuable for precisely extracting parameters that characterize a physical environment. This is especially useful for imaging purposes, to form reliable, meaningful physical images with good reproducibility. However, it is ch...

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Detalles Bibliográficos
Autores principales:	Zhang, Hongmei, Liang, Songshi, Matkovic, Luke A., Momin, Shadab, Wang, Kai, Yang, Xiaofeng, Insana, Michael F.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423342/ https://www.ncbi.nlm.nih.gov/pubmed/37581036 http://dx.doi.org/10.21037/qims-22-1147

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