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SUMMARY:Computational image analysis for coeliac disease diagnosis - Dr Ji
 m Denholm\, Postdoctoral visitor Dept. Applied Mathematics and Theoretical
  Physics\, University of Cambridge
DTSTART:20220126T140000Z
DTEND:20220126T150000Z
UID:TALK163315@talks.cam.ac.uk
CONTACT:Samantha Noel
DESCRIPTION:The discipline of image analysis has grown over the last decad
 e\, 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 t
 ools used when studying medical images. One application is the diagnosis o
 f coeliac disease: from an image of a duodenal biopsy\, how can we use com
 putational tools to determine whether of not there is evidence of coeliac 
 disease? Biopsies are complicated and the variation between different imag
 es is huge\, so analysing them in an automated fashion is a challenging ta
 sk. In the second part of the seminar\, I will share some of the difficult
 ies involved and show some early results of our research.
LOCATION:CMS\, Meeting Room 15
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