標題: Soma Detection in 3D Images of Neurons using Machine Learning Technique
作者: He, Guan-Wei
Wang, Ting-Yuan
Chiang, Ann-Shyn
Ching, Yu-Tai
資訊工程學系
Department of Computer Science
關鍵字: Soma detection;Machine learning method;Drosophila
公開日期: 1-一月-2018
摘要: Computing and analyzing the neuronal structure is essential to studying connectome. Two important tasks for such analysis are finding the soma and constructing the neuronal structure. Finding the soma is considered more important because it is required for some neuron tracing algorithms. We describe a robust automatic soma detection method developed based on the machine learning technique. Images of neurons were three-dimensional confocal microscopic images in the FlyCircuit database. The testing data were randomly selected raw images that contained noises and partial neuronal structures. The number of somas in the images was not known in advance. Our method tries to identify all the somas in the images. Experimental results showed that the method is efficient and robust.
URI: http://dx.doi.org/10.1007/s12021-017-9342-0
http://hdl.handle.net/11536/144462
ISSN: 1539-2791
DOI: 10.1007/s12021-017-9342-0
期刊: NEUROINFORMATICS
Volume: 16
起始頁: 31
結束頁: 41
顯示於類別:期刊論文