Leveraging Self-supervised Denoising for Image Segmentation

27 Nov 2019Mangal PrakashTim-Oliver BuchholzManan LalitPavel TomancakFlorian JugAlexander Krull

Deep learning (DL) has arguably emerged as the method of choice for the detection and segmentation of biological structures in microscopy images. However, DL typically needs copious amounts of annotated training data that is for biomedical projects typically not available and excessively expensive to generate... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.