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Articles Published Processes
2/14/2019 9:57:12 AM | Browse: 1133 | Download: 1448
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Received |
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2018-11-25 06:35 |
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Peer-Review Started |
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2018-11-26 02:12 |
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To Make the First Decision |
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2018-12-12 08:01 |
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Return for Revision |
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2018-12-17 07:03 |
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Revised |
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2018-12-24 08:46 |
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Second Decision |
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2019-01-04 09:37 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2019-01-09 21:06 |
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Articles in Press |
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2019-01-09 21:06 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2019-01-14 02:25 |
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Typeset the Manuscript |
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2019-02-13 09:38 |
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Publish the Manuscript Online |
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2019-02-14 09:57 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in medical imaging of liver
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Li-Qiang Zhou, Jia-Yu Wang, Song-Yuan Yu, Ge-Ge Wu, Qi Wei, You-Bin Deng, Xing-Long Wu, Xin-Wu Cui and Christoph F Dietrich |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Xin-Wu Cui, MD, PhD, Professor, Department of Medical Ultrasound, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, JIefang Road 1095, Wuhan 430030, Hubei Province, China. cuixinwu@live.cn |
| Key Words |
Liver; Imaging; Ultrasound; Artificial intelligence; Machine learning; Deep learning |
| Core Tip |
Artificial intelligence (AI) is widely used and gaining in popularity in the medical imaging of the liver. AI can achieve an increased accuracy for diagnosis with higher efficiency and greatly reduce the physicians’ workload. This article illustrates basic technical knowledge about AI, including traditional machine learning algorithms and deep learning algorithms, especially convolutional neural networks, and their clinical application in the medical imaging of liver diseases. Lastly, we discuss the challenges and future directions of clinical application of deep learning techniques. |
| Publish Date |
2019-02-14 09:57 |
| Citation |
Zhou LQ, Wang JY, Yu SY, Wu GG, Wei Q, Deng YB, Cui XW, Dietrich CF. Artificial intelligence in medical imaging of the liver. World J Gastroenterol 2019; 25(6): 672-682 |
| URL |
https://www.wjgnet.com/1007-9327/full/v25/i6/672.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v25.i6.672 |
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