![[Search]](/static/images/search.gif){kind=small}
![[A-Z Index]](/static/images/az.gif){kind=small}
![[Contact]](/static/images/contact.gif){kind=small}
![[University of Cambridge]](/static/images/identifier2.gif){kind=small}
![[Talks.cam]](/static/images/talkslogosmall.gif)
Wednesday 16 November 2022, 13:40-14:05
Quantifying the tumor vasculature environment using deep learning
- 👤 Speaker: Dr Tristan Whitmarsh (University of Cambridge)
- 📅 Date & Time: Wednesday 16 November 2022, 13:40 - 14:05
- 📍 Venue: The Hoyle Lecture Theatre + Zoom
Questions? Contact
Hannah Uebler
Abstract
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.
Series This talk is part of the Institute of Astronomy Seminars series.
Included in Lists
- Cambridge Astronomy Talks
- Combined External Astrophysics Talks DAMTP
- Cosmology, Astrophysics and General Relativity
- Cosmology lists
- Institute of Astronomy Seminars
- Institute of Astronomy Talk Lists
- Kavli Institute for Cosmology Talk Lists
- Priscilla
- The Hoyle Lecture Theatre + Zoom
Note: Ex-directory lists are not shown.