A muggles guide to deep learning wizardry.

Journal: Radiography (London, England : 1995)
Published Date:

Abstract

OBJECTIVES: Growing interest in the applications of artificial intelligence (AI) and, in particular, deep learning (DL) in nuclear medicine and radiology partitions the professional community. At one end of the spectrum are our expert DL wizards developing potion-like code and waving the DL capabilities like a wand across our professions. On the opposite side of the spectrum are our muggle colleagues who lack the wizardry of DL and may be largely oblivious to the entire magical realm.

Authors

  • G Currie
    School of Dentistry & Health Sciences, Charles Sturt University, Wagga Wagga, Australia; Department of Radiology, Baylor College of Medicine, TX, USA. Electronic address: gcurrie@csu.edu.au.