Writing Style: The Good, The Bad, and The ???
In my last post, I introduced my semester topic - Harnessing Foundation Models for Medical Image Segmentation ⚕️. The title is a bit of a mouthful. And the planned work is a definite handful! At the moment, I'm scrambling around with a homemade U-Net implementation, trying for not-terrible results after training on a few small datasets. Eventually, I'll graduate to the evaluation of actual foundation models - like Segment Anything (SAM), SAM2, and fine-tuned variants, i.e., MedSAM - which boast parameter sets and pre-training samples several orders of magnitude larger than the pile of weights I've haphazardly thrown together. When I say evaluation, that implies a strong understanding of each model. I'll need to get a grasp on everything! From architecture & training procedure to the problems their design sought to solve, how well they did this, and what research avenues might need exploring to perform even better 🔎. If you & I both took a wild guess on a decen...