I have general knowledge about ML/DL, and good knowledge of Deep Reinforcement Learning. I now want to dive into image segmentation. More specifically, I want to take a stab at this Kaggle challenge: SIIM-ACR Pneumothorax Segmentation

What are be the best recent resources? I am mainly looking for review papers and strong blog posts – ideally written resources, which are more efficient to consume than videos.

I have started with this review: Understanding Deep Learning Techniques for Image Segmentation, and will review the relevant part from the fast.ai course, since a lot of strong participants seem to rely on it on Kaggle.