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    A deep learning approach to 3D segmentation of brain vasculature

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    Date Issued
    2019
    Publisher Version
    10.1364/BRAIN.2019.BT2A.6
    Author(s)
    Tahir, Waleed
    Zhu, Jiabei
    Kura, Sreekanth
    Cheng, Xiaojun
    Boas, David
    Tian, Lei
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    Permanent Link
    https://hdl.handle.net/2144/40203
    Version
    Published version
    Citation (published version)
    Waleed Tahir, Jiabei Zhu, Sreekanth Kura, Xiaojun Cheng, David Boas, Lei Tian. 2019. "A Deep Learning Approach to 3D Segmentation of Brain Vasculature." Optics and the Brain. Optics and the Brain. https://doi.org/10.1364/BRAIN.2019.BT2A.6
    Abstract
    The segmentation of blood-vessels is an important preprocessing step for the quantitative analysis of brain vasculature. We approach the segmentation task for two-photon brain angiograms using a fully convolutional 3D deep neural network.
    Rights
    © 2019 The Author(s)
    Collections
    • ENG: Electrical and Computer Engineering: Scholarly Papers [257]
    • BU Open Access Articles [3730]


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