I am using Clara as a tool for my thesis and have some questions about the integration of Clara in a clinical setting.
First of all, I cannot seem to find how to train an Annotation model? I see how to train classification and segmentation models, but annotation seems to be missing. As there are few annotation models in the NVIDIA archives for Clara 2.0 I assume you have to create many from scratch, and I see how you can do that with segmentation, but not how to create an annotation model from a segmentation model. I’ve seen the “AddExtremePointsChannel” function for simulating the extreme points inputs, but I don’t really know where to go from there. I saw this thread but it was a bit vague in how you actually go about training Annotation models.
Secondly, I am trying to describe a scenario where Clara could be used to continuously generate new training data in hospitals. For example, after every relevant CT/MRI scan, the radiologist would use both Clara Deploy for it’s inference capabilities and simultaneously create new labeled training data which could be used to further improve models. My understanding is that Clara Train and Clara Deploy are separate, so is there any way in which you could do both of these at the same time?