Invited Commentary: The Power and Promise of Artificial Intelligence for Digital Breast Tomosynthesis.
作者信息
Bahl Manisha
机构信息
From the Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, 55 Fruit St, WAC 240, Boston, MA 02114.
出版信息
Radiographics. 2023 Jan;43(1):e220162. doi: 10.1148/rg.220162.
Abstract
摘要
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本文引用的文献
1
Digital Breast Tomosynthesis: What Have We Learned?数字化乳腺断层合成：我们学到了什么？
J Breast Imaging. 2019 Mar 13;1(1):9-22. doi: 10.1093/jbi/wby008.
2
Synthetic Mammography: Review of Benefits and Drawbacks in Clinical Use.合成乳腺摄影术：临床应用中的利弊综述
J Breast Imaging. 2022 Apr 15;4(2):124-134. doi: 10.1093/jbi/wbac008.
3
New Horizons: Artificial Intelligence for Digital Breast Tomosynthesis.新视野：数字乳腺断层合成中的人工智能。
Radiographics. 2023 Jan;43(1):e220060. doi: 10.1148/rg.220060.
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Updates in Artificial Intelligence for Breast Imaging.人工智能在乳腺成像中的应用进展。
Semin Roentgenol. 2022 Apr;57(2):160-167. doi: 10.1053/j.ro.2021.12.005. Epub 2021 Dec 31.
5
Artificial Intelligence (AI) for Screening Mammography, From the Special Series on AI Applications.人工智能（AI）在乳腺 X 线摄影筛查中的应用，选自 AI 应用专题系列。
AJR Am J Roentgenol. 2022 Sep;219(3):369-380. doi: 10.2214/AJR.21.27071. Epub 2022 Jan 12.
6
Advances in Digital Breast Tomosynthesis.数字乳腺断层合成技术的进展
AJR Am J Roentgenol. 2017 Feb;208(2):256-266. doi: 10.2214/AJR.16.17127. Epub 2016 Oct 27.
7
Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection.有和没有计算机辅助检测的数字化乳腺筛查钼靶摄影的诊断准确性
JAMA Intern Med. 2015 Nov;175(11):1828-37. doi: 10.1001/jamainternmed.2015.5231.
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Addition of tomosynthesis to conventional digital mammography: effect on image interpretation time of screening examinations.常规数字乳腺摄影中加入断层合成技术：对筛查检查图像解读时间的影响。
Radiology. 2014 Jan;270(1):49-56. doi: 10.1148/radiol.13130765.
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