Journal article

Computer-Aided Detection Can Bridge the Skill Gap in Multiple Sclerosis Monitoring

Ariel Dahan, Wayland Wang, Frank Gaillard

Journal of the American College of Radiology | ELSEVIER SCIENCE INC | Published : 2018

University of Melbourne Researchers


Funding Acknowledgements

The software was developed as a collaboration between the National Information and Communications Technology of Australia Research Centre of Excellence (NICTA) Victorian Research Laboratory, and Melbourne Health, with continued support from the Royal Melbourne Hospital Foundation Grant Program, 2015 (Frank Gaillard Chief Investigator) "Translation of VisTarsier use in routine care." The authors have no conflicts of interest related to the material discussed in this article.