BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational image analysis for coeliac disease diagnosis - Ben S
 chreiber\, Image Analysis Team\, Dept of Pathology
DTSTART:20230125T140000Z
DTEND:20230125T150000Z
UID:TALK192035@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 di
 agnosis of coeliac disease: from an image of a duodenal biopsy\, how can w
 e use computational tools to determine whether or not there is evidence of
  coeliac disease?  Biopsies are complicated and the variation between diff
 erent images is huge\, so analysing them in an automated fashion is a chal
 lenging task.  In the second part of the seminar\, I will share some of th
 e difficulties involved and show some early results of our research.
LOCATION:CMS\, Meeting Room 15
END:VEVENT
END:VCALENDAR