This is exciting! We’ll need plenty of GPUs… Anyone got a friendly research center that might have a big box we could share for this research project? If not, we can just use our home machines, and be thoughtful about having different people running different experiments. I’m planning to submit a grant application to Nvidia as well.
A good way to get started is to work on the Kaggle competition now. Stuff you’ll want to practice:
- Using traditional medical imaging approaches to finding and removing lung walls etc (dilation/erosion, et al)
- Using u-net for segmentation (see the official kaggle tutorial); 100 layer tiramisu might be better still, of course!
- Using the LUNA dataset for building an initial “nodule finder”
- Get the 5-dimensional mean shift clustering working as another nodule finder
- Triplanar and/or 3-d CNNs for actual malignancy detection
We can give each other tutorials on any/all of these as we get into it.
In order to share the data with you, I’ll probably need to add you officially to the NLST project, so once I get the data I’ll probably need to get some official info from you all.