Fast automatic segmentation of nuclei in microscopy images of tissue sections

V Laurain; H Ramoser; C Nowak; G Steiner; R Ecker

doi:10.1109/IEMBS.2005.1617199

Fast automatic segmentation of nuclei in microscopy images of tissue sections

Conf Proc IEEE Eng Med Biol Soc. 2005:2005:3367-70. doi: 10.1109/IEMBS.2005.1617199.

Authors

V Laurain¹, H Ramoser, C Nowak, G Steiner, R Ecker

Affiliation

¹ Advanced Computer Vision GmbH-ACV, Vienna, Austria.

PMID: 17280944
DOI: 10.1109/IEMBS.2005.1617199

Abstract

In this paper, we present a segmentation method for nuclei in microscopy images of tissue sections. The proposed method is completely automatic and performs well in the conflicting aims of speed efficiency, detection accuracy and shape fitting. It proposes an efficient alternative to existing methods ([1], [4]), in achieving the three main usual segmentation steps: (i) background extraction, (ii) seed finding and (iii) seed growing. Eventually, some significant results are depicted and discussed.