📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach. (2024)

First Author: Le E

Attributed to: EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.17863/cam.111149

Publication URI: https://www.repository.cam.ac.uk/handle/1810/372280

Type: Journal Article/Review