Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16790
Title: Computer-aided detection can bridge the skill gap in multiple sclerosis monitoring
Austin Authors: Wang, Wayland;Gaillard, Frank;Dahan, Ariel 
Affiliation: St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
Department of Radiology, University of Melbourne, The Royal Melbourne Hospital, Parkville, Victoria, Australia
Department of Radiology, Austin Health, Heidelberg, Victoria, Australia
Issue Date: Jan-2018
metadata.dc.date: 2017-07-29
Publication information: Journal of the American College of Radiology 2018; 15 (1 pt A): 93-96
URI: http://ahro.austin.org.au/austinjspui/handle/1/16790
DOI: 10.1016/j.jacr.2017.06.030
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/28764954
Type: Journal Article
Type of Clinical Study or Trial: Case Series and Case Reports
Appears in Collections:Journal articles

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