A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propelling us into the so-called artificial intelligence (AI) era. It is known that the success of AI is mostly attributed to t...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 109; H. 5; S. 820 - 838
Hauptverfasser:	Zhou, S. Kevin, Greenspan, Hayit, Davatzikos, Christos, Duncan, James S., Van Ginneken, Bram, Madabhushi, Anant, Prince, Jerry L., Rueckert, Daniel, Summers, Ronald M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Annotations Artificial intelligence Biomedical imaging Case studies Clinical diagnosis Computed tomography Computer architecture Deep learning Deep learning (DL) Digital imaging Diseases Image segmentation Literature reviews Medical diagnostic imaging Medical imaging Medical services Network architecture survey Trends deep learning survey Medical imaging
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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