Abstract

We optimized DeepVess, a convolutional neural network, to segment multiphoton microscopy images of brain blood vessels that outperformed the state-of-the-art machine learning methods and a trained human annotator.

© 2019 The Author(s)

PDF Article
More Like This
A Deep Learning Approach to 3D Segmentation of Brain Vasculature

Waleed Tahir, Jiabei Zhu, Sreekanth Kura, Xiaojun Cheng, David Boas, and Lei Tian
BT2A.6 Optics and the Brain (BRAIN) 2019

Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks

Nan Meng, Tianjiao Zeng, and Edmund Y. Lam
CW1A.5 Computational Optical Sensing and Imaging (COSI) 2019

Digital hologram reconstruction segmentation using a convolutional neural network

Tomi Pitkäaho, Aki Manninen, and Thomas J. Naughton
Th3A.1 Digital Holography and Three-Dimensional Imaging (DH) 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