Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/16790
Title: Computer-aided detection can bridge the skill gap in multiple sclerosis monitoring
Authors: Dahan, Ariel
Date of Publication: 29-Jul-2017
Citation: Journal of the American College of Radiology 2017; online first: 29 July
URI: http://ahro.austin.org.au/austinjspui/handle/1/16790
DOI: 10.1016/j.jacr.2017.06.030
PubMed URL: https://www.ncbi.nlm.nih.gov/pubmed/28764954
Type: Journal Article
Type of Clinical Study or Trial: Case Series and Case Reports
Appears in Collections:Journal articles

Files in This Item:
There are no files associated with this item.


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.