University of Cambridge > Talks.cam > Computational and Systems Biology Seminar Series 2021 - 2022 > Computational image analysis for coeliac disease diagnosis

Computational image analysis for coeliac disease diagnosis

Add to your list(s) Download to your calendar using vCal

  • UserDr Jim Denholm, Postdoctoral visitor Dept. Applied Mathematics and Theoretical Physics, University of Cambridge
  • ClockWednesday 26 January 2022, 14:00-15:00
  • HouseCMS, Meeting Room 15.

If you have a question about this talk, please contact Samantha Noel.

Our intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator

The discipline of image analysis has grown over the last decade, and machine learning, deep learning and artificial intelligence (AI) techniques are now being used for many real-world image analysis tasks. In the first part of this seminar, I will give an overview of some of the tools used when studying medical images. One application is the diagnosis of coeliac disease: from an image of a duodenal biopsy, how can we use computational tools to determine whether of not there is evidence of coeliac disease? Biopsies are complicated and the variation between different images is huge, so analysing them in an automated fashion is a challenging task. In the second part of the seminar, I will share some of the difficulties involved and show some early results of our research.

This talk is part of the Computational and Systems Biology Seminar Series 2021 - 2022 series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity