A 2017 Guide to Semantic Segmentation with Deep Learning

At Qure, we regularly work on segmentation and object detection problems and we were therefore interested in reviewing the current state of the art. In this post, I review the literature on semantic segmentation. Although the results are not directly applicable to medical images, I review these papers because research on the natural images is much more mature than that of medical images. Post is organized as follows: I first explain the semantic segmentation problem, give an overview of the approaches and summarize a few interesting papers. In a later post, I'll explain why medical images are different from natural images and examine how the approaches from this review fare on a dataset representative of medical images.