Medical Image Analysis Science Gateway in Nigeria
This project at Lagos State University aims to address challenges in medical image analysis in Nigeria by leveraging Science Gateway technology to create a platform for image repository, analysis tools, and workflow adaptation. The architecture, objectives, and milestones of the project are outlined, highlighting the need for collaboration and expertise sharing among clinical experts.
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Presentation Transcript
MIPAR (Extension) MIPAR (Extension) Intermediate report Intermediate report Olusola Olabanjo Lagos State University - Nigeria (olabanjoolusola@yahoo.com WACREN e-Research Hackfest Lagos (Nigeria) ) This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement n 654237
Outline Outline Scientific problem Architecture of the use case Objectives and milestones Achievements so far Any problems encountered Plans till the end of the hackfest 2
Scientific Problem Scientific Problem Some of the challenges in the field of medical image analysis Imaging equipment are very expensive Image acquisition is very expensive There are limited availability of medical image analysts in Nigeria Limited collaboration efforts and ability to share expertise amongst clinical experts The advancements in internet technology, data communication and reduction in hardware cost has led to the birth of Science Gateway Science Gateway can help in solving medical image analysis problems by offering tools for Creating of image repository Making image analysis tools available Making workflow available Adapting some of the tools to make them intelligent Science Gateway is in top gear in the developed world but very sluggish in Africa In particular, there is no platform for image analysis in Africa 3
Architecture of the use case and orchestration of e Architecture of the use case and orchestration of e- -Infrastructure services services Infrastructure Clinicians Researchers Students Others Access the tools via the web interface via their PCs and other web-enabled devices Upload to /Download from OAR Submit Images for Processing Analyze (Image) Data OAR 4 Future Gateway
Objectives and milestones (Part 1) Objectives and milestones (Part 1) Install R on the Server Expand the MIPAR interface to allow for statistical analyses Write Shell Scripts to perform regression 5
Achievements so far Achievements so far R has been successfully installed The MIPAR interface has been extended to allow for Analyses The bash script for regression is being written and we hope to push it to a reasonable extent today. 6
Any problems encountered Any problems encountered Not yet! 7
Plans till the end of the Plans till the end of the hackfest hackfest Write shell scripts to perform correlation Write shell scripts to compute volume Push the scripts to FG API Server and successfully interface it with the MIPAR portal 8
Thank you! sci-gaia.eu info@sci-gaia.eu
