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SUMMARY:Applying deep convolutional neural networks to medical imaging dat
 a - Michael Craig\, Clinical neuroscience\, University of Cambridge
DTSTART:20171006T133000Z
DTEND:20171006T143000Z
UID:TALK87541@talks.cam.ac.uk
CONTACT:Rachel Furner
DESCRIPTION:Recent years have seen an increase in scientific studies apply
 ing machine learning methods to medical image analysis. These algorithms h
 ave been used in a wide array of problems\, ranging from biomarker identif
 ication to classifying brain states. Most recently advanced machine learni
 ng algorithms known as deep convolutional neural networks (DCNN) have begu
 n to be applied to various medical imaging studies. In this talk I will pr
 ovide two applications of DCNNs to medical imaging. The first project uses
  graph DCNNs to classify brain networks during rest versus task state. The
  second uses DCNNs to identify abnormalities on mammograms.
LOCATION:MR15\, Centre for Mathematical Sciences
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