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.

© 2019 The Author(s)

PDF Article
More Like This
Comparison of convolutional neural and fully convolutional networks for segmentation of 3D in vivo multiphoton microscopy images of brain vasculature

Mohammad Haft-Javaherian, Chris B. Schaffer, Nozomi Nishimura, and Mert R. Sabuncu
BT2A.4 Optics and the Brain (BRAIN) 2019

Deep learning strategies for scalable analysis of high-resolution brain imagery

Giacomo Mazzamuto, Francesco Orsini, Matteo Roffilli, Paolo Frasconi, Francesco S. Pavone, and Ludovico Silvestri
11076_12 European Conference on Biomedical Optics (ECBO) 2019

Learning Biological Structures from Birefringence images with Deep Neural Networks

Syuan-Ming Guo, Anitha Krishnan, Jenny Folkesson, Jim Karkanias, and Shalin B. Mehta
MTu3D.3 Mathematics in Imaging (MATH) 2019

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription