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Activities completed this month |
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- Karen, Lubomir and Sam are going through the initial images to filter out poor quality images
- They will take a second closer look at the images that they didn’t agree unanimously on.
- Then Carol (an expert annotator) will go through the “best” images and further accept\reject them and point out what artifacts are in them.
- We are in the process of getting a GPU VM setup to test GPU challenges.
- There were issues with networking on the Paris-Saclay servers and since I don’t have access, I have to wait on them to deploy and fix. They are working on getting me VPN access. In the mean time, I will deploy some cpu\gpu workers charged to MedICI\Leidos in order to test if the code works as I have control to access\manage network settings in Azure.
- There is a new challenge coming up and I intent to launch on our main server https://medici-codalab-main.eastus.cloudapp.azure.com/. In addition I will create a codabench instance or use the one I already have live to simultaneously launch this challenge on codabench to see if it could be ready for future challenges.
- The challenge is finished. We are collecting finalist algorithms and running them on MGH’s internal data to see how well they performed. We will discuss results soon. First we need to organize MGH data somewhat.
Activities completed this month |
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Planned for next month |
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- Jayashree is open now to running this on codabench at the same time as codalab.
- DGM-Image Statistics challenge: Deep Generative Modeling for Learning Medical Image Statistic
- TACTIC: Understanding Time-Activity Curve and Time-Integrated Activity Variations in Radiopharmaceutical Therapy Challenge
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Meeting | Date |
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Bi-weekly Meeting #1 |
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Bi-weekly Meeting #2 |
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Bi-weekly Meeting #3 |
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