UNIVERSAL MEDICAL SEGMENTATION

Summary from the TLDR AI newsletter

Medical image segmentation is the process of identifying every pixel in an image that belongs to a certain class (e.g. cancer vs non-cancer). It is historically quite challenging to transfer one model to another task. This new work shows a robust model, still based on the immortal UNet, that works across a variety of medical imaging tasks.