Quantifying the tumor vasculature environment using deep learning

Add to your list(s) Download to your calendar using vCal

• Dr Tristan Whitmarsh (University of Cambridge)
• Wednesday 16 November 2022, 13:40-14:05
• The Hoyle Lecture Theatre + Zoom .

If you have a question about this talk, please contact Hannah Uebler.

The tumor vascular density assessed from CD-31 immunohistochemistry (IHC) images has previously been shown to have prognostic value in breast 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 therefore propose a method for automatically measuring a range of vascular parameters from CD-31 IHC images, which together provide a detailed description of the vasculature morphology.

This talk is part of the Institute of Astronomy Seminars series.

This talk is included in these lists:

• Combined External Astrophysics Talks DAMTP
• Cosmology lists
• Cosmology, Astrophysics and General Relativity
• Institute of Astronomy Seminars
• Institute of Astronomy Talk Lists
• Kavli Institute for Cosmology Talk Lists
• Priscilla
• The Hoyle Lecture Theatre + Zoom

Note that ex-directory lists are not shown.