Deep learning and medical imaging.
作者信息
Klang Eyal
机构信息
Department of Radiology, The Chaim Sheba Medical Center, Tel Hashomer, Israel.
出版信息
J Thorac Dis. 2018 Mar;10(3):1325-1328. doi: 10.21037/jtd.2018.02.76.
Abstract
摘要
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2016 New Horizons Lecture: Beyond Imaging-Radiology of Tomorrow.2016 年新视野讲座：超越影像——明日的放射学。
Radiology. 2018 Mar;286(3):764-775. doi: 10.1148/radiol.2017171503. Epub 2018 Jan 18.
2
When Machines Think: Radiology's Next Frontier.当机器开始思考：放射科的下一个前沿领域。
Radiology. 2017 Dec;285(3):713-718. doi: 10.1148/radiol.2017171183.
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Deep Learning: A Primer for Radiologists.深度学习：放射科医生入门。
Radiographics. 2017 Nov-Dec;37(7):2113-2131. doi: 10.1148/rg.2017170077.
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Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images.基于深度学习的 CT 图像肺结节分类
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Med Image Anal. 2017 Dec;42:60-88. doi: 10.1016/j.media.2017.07.005. Epub 2017 Jul 26.
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