Multi-channel and multi-layer cell segmentations and decision fusion based on an hierarchical structure
by Eric Dahai Cheng, Subhash Challa, Rajib Chakravorty
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 6, No. 1, 2011

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.

Online publication date: Wed, 21-Jan-2015

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