DocumentCode :
2989961
Title :
Segmentation of mitochondria in intracellular space
Author :
Nhan Nguyen-Thanh ; Pham, Tuan D. ; Ichikawa, Kazuhisa
Author_Institution :
Aizu Res. Cluser for Med. Eng. & Inf., Center for Adv. Inf. Sci. & Technolog, Univ. of Aizu, Fukushima, Japan
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
218
Lastpage :
221
Abstract :
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.
Keywords :
Gabor filters; biology computing; cancer; cellular biophysics; image segmentation; scanning electron microscopy; FIB; Gabor filter; SEM image; cancer simulation; cellular organelle location; cellular organelle morphology; electronic microscopy intracellular image; focused ion beam; mitochondria segmentation; organelle segmentation; scanning electron microscope image; Biomedical imaging; Cancer; Feature extraction; Image segmentation; Morphology; Scanning electron microscopy; Shape; cell organelles; image processing; image segmentation; mitochondria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013 IEEE Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CIBCB.2013.6595412
Filename :
6595412
Link To Document :
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