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...

Descripción completa

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

Internet

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

Ejemplares similares