@inproceedings{a1fa1880e20b4282a105d129e25df41e,
title = "A 3D self-adjust region growing method for axon extraction",
abstract = "Neuron axon analysis is an important means to investigate disease mechanisms and signaling pathways in neurobiology and often requires collecting a great amount of statistical information and phenomena. Automated extraction of axons in 3D microscopic images posts a key problem in the field of neuron axon analysis. To address tortuous axons in 3D volumes, a self-adjust region growing approach referring to surface modeling and self-adjustment which takes advantage of the nature of axon (e.g., continuity), is presented. Experimental results on axon volumes show that the proposed scheme provides a reliable solution to axon retrieving and overcomes several common drawbacks from other existing methods.",
keywords = "Neuron axon, Region growing, Self-adjust",
author = "Kai Zhang and Hongkai Xiong and Xiaobo Zhou and Stephen Wong",
note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",
year = "2007",
doi = "10.1109/ICIP.2007.4379185",
language = "English (US)",
isbn = "1424414377",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "II433--II436",
booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",
}