Artificial Intelligence in Radiology: Hype or Hope?

Bibliographic Details
Main Author: Erik Ranschaert
Format: Article
Language:English
Published: Ubiquity Press 2018-11-01
Series:Journal of the Belgian Society of Radiology
Subjects:
Online Access:https://www.jbsr.be/articles/1632
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spelling doaj-b5fd8be3a2754852ade14eabbd8be6e12020-11-25T00:57:58ZengUbiquity PressJournal of the Belgian Society of Radiology2514-82812018-11-01102S110.5334/jbsr.16321170Artificial Intelligence in Radiology: Hype or Hope?Erik Ranschaert0EuSoMII ETZ teaching hospital Tilburghttps://www.jbsr.be/articles/1632artificial intelligencedeep learningradiology
collection DOAJ
language English
format Article
sources DOAJ
author Erik Ranschaert
spellingShingle Erik Ranschaert
Artificial Intelligence in Radiology: Hype or Hope?
Journal of the Belgian Society of Radiology
artificial intelligence
deep learning
radiology
author_facet Erik Ranschaert
author_sort Erik Ranschaert
title Artificial Intelligence in Radiology: Hype or Hope?
title_short Artificial Intelligence in Radiology: Hype or Hope?
title_full Artificial Intelligence in Radiology: Hype or Hope?
title_fullStr Artificial Intelligence in Radiology: Hype or Hope?
title_full_unstemmed Artificial Intelligence in Radiology: Hype or Hope?
title_sort artificial intelligence in radiology: hype or hope?
publisher Ubiquity Press
series Journal of the Belgian Society of Radiology
issn 2514-8281
publishDate 2018-11-01
topic artificial intelligence
deep learning
radiology
url https://www.jbsr.be/articles/1632
work_keys_str_mv AT erikranschaert artificialintelligenceinradiologyhypeorhope
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