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SUMMARY:Computational image analysis for coeliac disease diagnosis - Dr Ju
 lian Gilbey (University of Cambridge)
DTSTART:20210127T140000Z
DTEND:20210127T150000Z
UID:TALK151057@talks.cam.ac.uk
CONTACT:Samantha Noel
DESCRIPTION:The discipline of image analysis has grown hugely over the las
 t decade\, and machine learning\, deep learning and artificial intelligenc
 e (AI) techniques are now being used for many real-world image analysis ta
 sks.  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 or not there is evidence 
 of coeliac disease?  Biopsies are complicated and the variation between d
 ifferent images is huge\, so analysing them in an automated fashion is a c
 hallenging task.  In the second part of the seminar\, I will share some o
 f the difficulties involved and show some early results of our research.\n
LOCATION:Please get in touch at compbiomphil@maths.cam.ac.uk for joining i
 nformation.
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