Container-Based Clinical Solutions for Portable and Reproducible Image Analysis
| Autor: | Gregory Kiar, Erik C. B. Johnson, William Gray-Roncal, Corban G. Rivera, Jordan Matelsky, Michael K. Toma |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Diagnostic Imaging Computer science Clinical settings Article Containers Image (mathematics) Workflow 03 medical and health sciences Software Human–computer interaction Medical imaging Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Abstraction (linguistics) Docker Radiological and Ultrasound Technology SIMPLE (military communications protocol) Singularity business.industry Reproducibility of Results Reproducibility Computer Science Applications 030104 developmental biology Radiology Information Systems Container (abstract data type) Medical-imaging business |
| Zdroj: | Journal of Digital Imaging |
| ISSN: | 1618-727X 0897-1889 |
| Popis: | Medical imaging analysis depends on the reproducibility of complex computation. Linux containers enable the abstraction, installation, and configuration of environments so that software can be both distributed in self-contained images and used repeatably by tool consumers. While several initiatives in neuroimaging have adopted approaches for creating and sharing more reliable scientific methods and findings, Linux containers are not yet mainstream in clinical settings. We explore related technologies and their efficacy in this setting, highlight important shortcomings, demonstrate a simple use-case, and endorse the use of Linux containers for medical image analysis. |
| Databáze: | OpenAIRE |
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