Deep learning tools and modeling to estimate the evolution of E2Fs concentration over the cell cycle from 2D still images
December 11, 2019 at 11 AM
Thierry Pecot, Medical University of South Carolina, USA
Lieu(x) : Amphithéatre Lagarrigue, Ecole Polytechnique
Contact : Anatole Chessel
anatole.chessel at polytechnique.edu
Since its appearance in 2012, deep learning has completely changed the conversation about artificial intelligence for image-based decision making. Deep learning tools developed over the last few years have outperformed all existing image segmentation approaches, from computer vision to medical imaging.