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SUMMARY:Energy Functionals: Choices and Consequences For Medical Image Seg
 mentation - Chris McIntosh\, SFU
DTSTART:20110818T090000Z
DTEND:20110818T100000Z
UID:TALK32279@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Medical imaging continues to permeate the practice of medicine
 \, but automated yet accurate segmentation and labeling of anatomical stru
 ctures continues to be a major obstacle to computerized medical image anal
 ysis. Though there are numerous approaches for medical image segmentation\
 , one in particular has gained increasing popularity: energy minimization-
 based techniques\, and the large set of methods encompassed therein. With 
 these techniques an energy function must be chosen\, segmentations must be
  initialized\, weights for competing terms of the energy functional must b
 e tuned\, and the resulting functional minimized. There are a lot of choic
 es involved\, and their consequences are not always clear. In this talk I 
 explore the different consequences of these choices\, and provide novel me
 thods that attempt to overcome two of the more significant problems encoun
 tered: local minima and parameter settings.
LOCATION:Small lecture theatre\, Microsoft Research Ltd\, 7 J J Thomson Av
 enue (Off Madingley Road)\, Cambridge
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