Deep learning for image analysis

Overview
Sponsors

Proof of COVID-19 vaccination or recovery is required to attend this on-site course. Please see EMBL’s COVID-19 safety policy for on-site events.

Registration is not yet open for this event. If you are interested in receiving more information please register your interest.

Course overview

The advent of deep learning has brought a revolution in the field of computer vision, including most tasks and research questions concerned with microscopy image analysis. Neural networks have been successfully used for image restoration, classification and segmentation, for the detection of objects and characterisation of their morphology, for high-throughput imaging and large-scale processing in 3D. Despite these advances, training and deployment of such neural networks remains difficult for practitioners of image analysis. The aim of our course is to close this gap and teach the participants – in the most hands-on way possible – to apply deep learning-based methods to their own data and image analysis problems.

Audience

This course is aimed at both core facility staff and research scientists.

Prerequisites for this workshop are programming skills in Python and ideally Tensorflow, Keras or Pytorch as well as basic knowledge of machine learning theory.

Learning outcomes

After this course you should be able to:

Understand the fundamentals of machine learning methods suitable for image analysis
Advise users/colleagues in strategies to obtain ground truth
Train and use a CNN for a bioimage analysis task studied in the course
Perform simple quality control on the results

What past participants say about the course

“I enjoyed every single day of this course: not only have I learned so much on how to approach an image analysis problem using Deep Learning, but also I had a great great great time coding and discussing with the other participants and the instructors!” – Lucrezia Ferme, Instituto Gulbenkian de Ciência, Portugal

Sponsors

Sponsorship opportunities

We offer a variety of event sponsoring possibilities, with the flexibility to select a set sponsorship package or combine individual sponsorship options to suit your event budget. Discounts are available for companies sponsoring multiple events at EMBL Heidelberg. View other events, or contact sponsorship@embl.de for further information.

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Date: 5 - 9 Jun 2023

Location: EMBL Heidelberg

Venue: EMBL Advanced Training Centre