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I'm excited for the applications of deep learning in radiology. I'll be starting radiology residency in a couple years (intern year first). Can someone explain
by aabajian 10y ago
I'm excited for the applications of deep learning in radiology. I'll be starting radiology residency in a couple years (intern year first).
Can someone explain whether this solves the problem of identifying multiple pathologies within the same image? For example, if a patient has pneumonia and a pleural effusion, could this method activate two subnetworks and come up with a consensus diagnosis based on both those networks? Or does only one pathway get activated at a time?
- sjg007 10y agoTheoretically. You can have two models Kane trained on each pathology or one model trained on examples of both in the same image. But this poses a neat mixture of experts problem instrinsic to diagnosis.
- barbolo 10y agoSure you can. The term you are looking for is "multi task learning".