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https://ahro.austin.org.au/austinjspui/handle/1/16790| Title: | Computer-aided detection can bridge the skill gap in multiple sclerosis monitoring | Austin Authors: | Dahan, Ariel ;Gaillard, Frank;Wang, Wayland | 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 | Date: | 2017-07-29 | Publication information: | Journal of the American College of Radiology 2018; 15 (1 pt A): 93-96 | URI: | https://ahro.austin.org.au/austinjspui/handle/1/16790 | DOI: | 10.1016/j.jacr.2017.06.030 | Journal: | Journal of the American College of Radiology | 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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