DocumentCode
2482320
Title
Segmentation of overlapping/aggregating nuclei cells in biological images
Author
Cloppet, Florence ; Boucher, Alain
Author_Institution
Crip5-Sip, Univ. Paris Descartes, Paris
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
This paper presents a method of overlapping/aggregating nuclei cells segmentation. This method is based on the watershed segmentation algorithm, but the specificity of this work is to introduce some prior information about the usual shape of normal/pathological nuclei cells. Such prior information will help to optimize the right set of markers, from which the flooding will be done. This approach has been implemented and tested, and the results evaluated by cell biology experts show the efficiency of the proposed approach.
Keywords
biological techniques; biology computing; cellular biophysics; image segmentation; transforms; aggregating nuclei cell segmentation; biological image segmentation; overlapping nuclei cell segmentation; pathological nuclei cell shape; watershed segmentation algorithm; watershed transform; Cells (biology); Diseases; Image analysis; Image segmentation; Immune system; Immunity testing; Morphology; Optical microscopy; Pathology; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761451
Filename
4761451
Link To Document