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SUMMARY:Quantifying the tumor vasculature environment using deep learning 
 - Dr Tristan Whitmarsh (University of Cambridge)
DTSTART:20221116T134000Z
DTEND:20221116T140500Z
UID:TALK192875@talks.cam.ac.uk
CONTACT:Hannah Uebler
DESCRIPTION:The tumor vascular density assessed from CD-31 immunohistochem
 istry (IHC) images has previously been shown to have prognostic value in b
 reast cancer. Current methods to measure the vascular density\, however\, 
 are time-consuming\, suffer from a high inter-observer variability and are
  limited in describing the complex tumor vasculature morphometry. We there
 fore propose a method for automatically measuring a range of vascular para
 meters from CD-31 IHC images\, which together provide a detailed descripti
 on of the vasculature morphology.
LOCATION:The Hoyle Lecture Theatre + Zoom 
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