Segmentation of multiple objects evolving conditional random field based topology adaptive active membrane

Information of cellular organelle location and morphology is essential for cancer simulation. In order to obtain such information, the segmentation of the organelles from electronic microscopy intracellular image is crucial. In this paper, we focus on the segmentation of mitochondria organelle which is one of the most important organelles tightly related to the form of cancer. A simple three-stage strategy for mitochondrial segmentation based on exclusive and morphology properties and Gabor filter is proposed. Experimental results on focused ion beam (FIB) and scanning electron microscope (SEM) images have shown the effectiveness of proposed method.

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Segmentation of mitochondria in intracellular space

Nguyen-Thanh

Pham

Ichikawa

2013

2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

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Segmentation of multiple objects evolving conditional random field based topology adaptive active membrane

Cited by 1 publication

References 24 publications

Segmentation of mitochondria in intracellular space

Segmentation of mitochondria in intracellular space

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