WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/9996637,
	  title     = {Sequential Partitioning Brainbow Image Segmentation Using Bayesian},
	  author    = {Yayun Hsu and  Henry Horng-Shing Lu},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper proposes a data-driven, biology-inspired neural segmentation method of 3D drosophila Brainbow images. We use Bayesian Sequential Partitioning algorithm for probabilistic modeling, which can be used to detect somas and to eliminate
crosstalk effects. This work attempts to develop an automatic methodology for neuron image segmentation, which nowadays still
lacks a complete solution due to the complexity of the image. The proposed method does not need any predetermined, risk-prone thresholds, since biological information is inherently included inside the image processing procedure. Therefore, it is less sensitive to variations in neuron morphology; meanwhile, its flexibility would be beneficial for tracing the intertwining structure of neurons.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {12},
	  year      = {2013},
	  pages     = {1539 - 1544},
	  ee        = {https://publications.waset.org/pdf/9996637},
	  url   	= {https://publications.waset.org/vol/84},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 84, 2013},
	}