Abstract
The SMI software ecosystem has been developed over the past 6 years to turn a petabyte-scale dataset of raw DICOM images into a rich, “research-ready”, data resource. Through the PICTURES programme, it has been successfully deployed in the Scottish National Safe Haven and the HIC Trusted Research Environment in Dundee. We now support several active research studies across both environments. We have a commitment to provide open-source software, and our work is freely available on GitHub at https://github.com/SMI. These repos include our scalable pipeline for data ingest and de-identification, a tool for scanning text and images for identifiable data, processing of free-text radiology reports using NLP, and libraries to support management of DICOM objects. Our Ansible collection allows the automated deployment of the software, supporting standardised installations for developers and production environments.
| Original language | English |
|---|---|
| Publication status | Published - 12 Jun 2024 |
| Event | SINAPSE 2024 ASM - University of Stirling, Stirling, United Kingdom Duration: 12 Jun 2024 → 12 Jun 2024 https://www.sinapse.ac.uk/events/2024-sinapse-asm/ |
Conference
| Conference | SINAPSE 2024 ASM |
|---|---|
| Country/Territory | United Kingdom |
| City | Stirling |
| Period | 12/06/24 → 12/06/24 |
| Internet address |
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