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本文引用的文献

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Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.基于深度学习单发探测器的 T1 加权 MRI 立体定向放射手术中脑转移瘤的计算机辅助检测。
Radiology. 2020 May;295(2):407-415. doi: 10.1148/radiol.2020191479. Epub 2020 Mar 17.
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Large scale deep learning for computer aided detection of mammographic lesions.基于大规模深度学习的计算机辅助乳腺病变检测
Med Image Anal. 2017 Jan;35:303-312. doi: 10.1016/j.media.2016.07.007. Epub 2016 Aug 2.
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Domain adaptation via transfer component analysis.通过迁移成分分析实现领域自适应。
IEEE Trans Neural Netw. 2011 Feb;22(2):199-210. doi: 10.1109/TNN.2010.2091281. Epub 2010 Nov 18.
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A logical calculus of the ideas immanent in nervous activity. 1943.神经活动中内在思想的逻辑演算。1943年。
Bull Math Biol. 1990;52(1-2):99-115; discussion 73-97.

Detection of Brain Metastases with Deep Learning Single-Shot Detector Algorithms.

作者信息

Kikinis Ron, Wells William M

机构信息

From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115.

出版信息

Radiology. 2020 May;295(2):416-417. doi: 10.1148/radiol.2020200261. Epub 2020 Mar 17.

DOI:10.1148/radiol.2020200261
PMID:32186458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7549124/
Abstract
摘要