Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses

To explore the feasibility of a fully automated workflow for whole-body volumetric analyses based on deep reinforcement learning (DRL) and to investigate the influence of contrast-phase (CP) and slice thickness (ST) on the calculated organ volume. This retrospective study included 431 multiphasic CT...

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Detalles Bibliográficos
Autores principales: Winkel, David J., Breit, Hanns-Christian, Weikert, Thomas J., Stieltjes, Bram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887142/
https://www.ncbi.nlm.nih.gov/pubmed/33469724
http://dx.doi.org/10.1007/s10278-020-00398-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887142/
https://www.ncbi.nlm.nih.gov/pubmed/33469724
http://dx.doi.org/10.1007/s10278-020-00398-y

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