An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow

Although machine learning (ML) has made significant improvements in radiology, few algorithms have been integrated into clinical radiology workflow. Complex radiology IT environments and Picture Archiving and Communication System (PACS) pose unique challenges in creating a practical ML schema. Howev...

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Detalles Bibliográficos
Publicado en:J Digit Imaging
Main Authors: Sohn, Jae Ho, Chillakuru, Yeshwant Reddy, Lee, Stanley, Lee, Amie Y, Kelil, Tatiana, Hess, Christopher Paul, Seo, Youngho, Vu, Thienkhai, Joe, Bonnie N
Formato: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2020
Assuntos:
Methods Paper
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7522128/
https://ncbi.nlm.nih.gov/pubmed/32468486
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00348-8
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