A Deep Learning Approach to 3D Segmentation of Brain Vasculature
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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.
[1] Anna Devor,et al. Validation and optimization of hypercapnic-calibrated fMRI from oxygen-sensitive two-photon microscopy , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.
[2] Valery Naranjo,et al. Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study , 2014, Medical Image Anal..
[3] Isabelle Bloch,et al. A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes , 2009, Medical Image Anal..