CIM Seminar with Virginie Uhlman (Wednesday, Å4101)
- Date: 16 March 2022, 12:10–12:55
- Location: Ångström Laboratory, Å4001
- Type: Seminar
- Lecturer: Virginie Uhlman
- Contact person: Oskar Tegby
Title: Deep learning for bioimage analysis: how far we got, and where we are heading
Abstract
Deep learning has transformed the way large and complex microscopy image datasets can be processed, reshaping what is possible in bioimage analysis. In this talk, we will characterize the unique features and challenges of microscopy data, and review how deep learning methods have successfully been adapted from computer vision and medical imaging to efficiently solve recurring bioimage analysis problems. We will also discuss the future of deep learning applied to biology, and explore how state-of-the-art approaches in machine learning have the potential to transform our understanding of biological systems through new analysis and modelling strategies that integrate multimodal inputs in space and time.
Registration
Register to the event here. The registration closes March 6.
Please note that the seminar is on a Wednesday and is NOT held in the usual lecture hall Å4004, but in Å4101.