University of Cambridge > Talks.cam > CMIH Hub seminar series > Learning clinically useful information from medical images

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Learning clinically useful information from medical images

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

If you have a question about this talk, please contact Rachel Furner.

This talk will focus on the convergence medical imaging and machine learning techniques for the discovery and quantification of clinically useful information from medical images. The first part of the talk will describe machine learning techniques that can be used for image reconstruction, e.g. the acceleration of MR imaging, and image super-resolution. The second part describes recent machine learning approaches such as deep learning for image segmentation and image classification with particular application to neurological and cardiovascular diseases as well as applications in neonatal and fetal imaging.

This talk is part of the CMIH Hub seminar series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Current Research Topics (Computer Laboratory) 2010-11 Centre of South Asian Studies Seminars Cambridge Institute Genomics Core

Other talks

MEASUREMENT SYSTEMS AND INSTRUMENTATION IN THE OIL AND GAS INDUSTRY CANCELLED: Beverly Gage: G-Man: J. Edgar Hoover and the American Century Borel Local Lemma Coinage in the later medieval countryside: single-finds and the evidence from Rendlesham, Suffolk 160 years of occupational structure: Late Imperial China and its regions CANCELLED Jennifer Luff: Secrets, Lies, and the 'Special Relationship' in the Early Cold War
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity