Title: Multi-channel and multi-layer cell segmentations and decision fusion based on an hierarchical structure

Authors: Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty

Addresses: Victoria Research Laboratory, National Information and Communication Technologies, Australia (NICTA), Department of Electrical and Electronic Engineering, University of Melbourne, Level 2, Building 193, Victoria 3010, Australia. ' Victoria Research Laboratory, National Information and Communication Technologies, Australia (NICTA), Department of Electrical and Electronic Engineering, University of Melbourne, Level 2, Building 193, Victoria 3010, Australia. ' Victoria Research Laboratory, National Information and Communication Technologies, Australia (NICTA), Department of Electrical and Electronic Engineering, University of Melbourne, Level 2, Building 193, Victoria 3010, Australia

Abstract: In this paper, several multi-channel and multi-layer cell segmentation algorithms are developed and optimised individually. Then, a hierarchical structure is used in decision fusion to combine the four independent segmentation results to increase the probability of final cell detection. Experimental results have proved that both the proposed four independent edge detection and |CFSE| based cell segmentation algorithms and the fusion algorithm are very robust. The statistical multiple frame experiments have shown that in 21 frames their average final detection rate is about 98%, with the 2% miss detection rate, and about 3% false detection rate.

Keywords: multi-channel cell segmentation; multi-layer cell segmentation; decision fusion; hierarchical structure; CFSE images; PI images; biomedical engineering; edge detection; carboxyfluorescin diacetate succinimidyl ester; propidium iodide solution; immune system; video sequences; cell tracking; cultured cells; dead cell detection; grey scale imaging.

DOI: 10.1504/IJBET.2011.040451

International Journal of Biomedical Engineering and Technology, 2011 Vol.6 No.1, pp.14 - 45

Published online: 21 Jan 2015 *

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