A deep learning approach to 3D segmentation of brain vasculature

Date Issued
2019Publisher Version
10.1364/BRAIN.2019.BT2A.6Author(s)
Tahir, Waleed
Zhu, Jiabei
Kura, Sreekanth
Cheng, Xiaojun
Boas, David
Tian, Lei
Metadata
Show full item recordPermanent Link
https://hdl.handle.net/2144/40203Version
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.6Abstract
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.
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© 2019 The Author(s)Collections