Publication Name	World Journal of Radiology
Manuscript ID	44843
Country	China

Received	2018-11-29 05:37
Peer-Review Started	2018-11-30 03:02
To Make the First Decision	2019-01-07 00:47
Return for Revision	2019-01-08 07:41
Revised	2019-01-14 12:51
Second Decision	2019-01-26 09:52
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2019-01-27 00:23
Articles in Press	2019-01-27 00:23
Publication Fee Transferred
Edit the Manuscript by Language Editor	2019-01-30 01:58
Typeset the Manuscript	2019-02-28 01:01
Publish the Manuscript Online	2019-02-28 05:14

ISSN	1949-8470 (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/
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Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Artificial intelligence in breast ultrasound
Manuscript Source	Invited Manuscript
All Author List	Ge-Ge Wu, Li-Qiang Zhou, Jian-Wei Xu, Jia-Yu Wang, Qi Wei, You-Bin Deng, Xin-Wu Cui and Christoph F Dietrich
ORCID	Author(s) ORCID Number Ge-Ge Wu http://orcid.org/0000-0002-7159-2483 Li-Qiang Zhou http://orcid.org/0000-0002-6025-2694 Jia-Yu Wang http://orcid.org/0000-0001-9902-0666 Qi Wei http://orcid.org/0000-0002-7955-406X You-Bin Deng http://orcid.org/0000-0001-8002-5109 Xin-Wu Cui http://orcid.org/0000-0003-3890-6660 Christoph F Dietrich http://orcid.org/0000-0001-6015-6347
Funding Agency and Grant Number
Corresponding Author	Xin-Wu Cui, MD, PhD, Professor, ino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue No. 1095, Wuhan 430030, Hubei Province, China. cuixinwu@live.cn
Key Words	Breast; Ultrasound; Artificial intelligence; Machine learning; Deep learning
Core Tip	Artificial intelligence (AI) is gaining extensive attention for its excellent performance in image-recognition tasks and increasingly applied in breast ultrasound. In this review, we summarize the current knowledge of AI in breast ultrasound, including the technical aspects, its applications in the differentiation between benign and malignant breast masses. In the meanwhile, we also discuss the future perspectives, such as combining with elastography, contrast-enhanced ultrasound to improve the performance of AI in breast ultrasound.
Publish Date	2019-02-28 05:14
Citation	Wu GG, Zhou LQ, Xu JW, Wang JY, Wei Q, Deng YB, Cui XW, Dietrich CF. Artificial intelligence in breast ultrasound. World J Radiol 2019; 11(2): 19-26
URL	https://www.wjgnet.com/1949-8470/full/v11/i2/19.htm
DOI	https://dx.doi.org/10.4329/wjr.v11.i2.19

Full Article (PDF)	WJR-11-19.pdf
Full Article (Word)	WJR-11-19.docx
Manuscript File	44843-Review_Edited.docx
Answering Reviewers	44843-Answering reviewers.pdf
Audio Core Tip	44843-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	44843-Conflict-of-interest statement.pdf
Copyright License Agreement	44843-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	44843-Language certificate.pdf
Peer-review Report	44843-Peer-review(s).pdf
Scientific Misconduct Check	44843-Scientific misconduct check.pdf
Scientific Editor Work List	44843-Scientific editor work list.pdf