ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

Authors

The Genodisc Consortium
Amir Jamaludin
Meelis Lootus
Timor Kadir

Document Type

Article

Publication Date

2017

Journal

European Spine Journal

Volume

31

Issue

7

URL with Digital Object Identifier

10.1007/s00586-017-4956-3

Notes

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

The article as published is available at:

Jamaludin, A., Lootus, M., Kadir, T. et al. ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist. Eur Spine J 26, 1374–1383 (2017). https://doi.org/10.1007/s00586-017-4956-3

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.