Edit
Deep learning for image analysis – Course and Conference Office

EMBL Course

Deep learning for image analysis

Overview

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.

Participants are invited to bring their own data sets that can be used in the practical sessions.

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

What is the greatest benefit of the course for the scientific community and what could the techniques in this course be used for in the bigger picture? Find out more and meet organiser Anna Kreshuk in our 2019 ‘Meet the trainer’ series interview!

Please see EMBL’s COVID-19 safety policy for testing and other requirements to attend this on-site course.

Date: 5 - 9 Jun 2023

Location: EMBL Heidelberg

Venue: EMBL Advanced Training Centre


Deadline(s):

Application: Closed


Organisers:

  • Anna Kreshuk
    EMBL Heidelberg, Germany
    • Constantin Pape
      University of Göttingen, Germany

What's new on our blog

Edit