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...

詳細記述

保存先:
書誌詳細
出版年:J Digit Imaging
主要な著者: Sohn, Jae Ho, Chillakuru, Yeshwant Reddy, Lee, Stanley, Lee, Amie Y, Kelil, Tatiana, Hess, Christopher Paul, Seo, Youngho, Vu, Thienkhai, Joe, Bonnie N
フォーマット: Artigo
言語:Inglês
出版事項: Springer International Publishing 2020
主題:
Methods Paper
オンライン･アクセス: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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