📣 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.

SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans (2022)

First Author: R Windsor

Attributed to: Visual AI: An Open World Interpretable Visual Transformer funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://ora.ox.ac.uk/objects/uuid:6589ceba-3ad2-4e2a-b7c1-9d2e539a75d8

Type: Technical Report