PdEs-based morphology on graphs for cytological slides segmentation and clustering

Author

Desquesnes, Xavier ; Elmoataz, Abderrahim ; Lézoray, Olivier

Author_Institution

ENSICAEN, Univ. de Caen Basse Normandie, Caen, France

fYear

2012

fDate

2-5 May 2012

Firstpage

1619

Lastpage

1622

Abstract

In this paper, we propose a new graph-based approach to address the problem of cytological computer-aided diagnostic. Such approach uses our previously introduced formalism of PdEs-based morphology and geometric diffusion on graphs. The approach is illustrated through two applications in cytopathology (involving Feulgen and Papanicolaou colorations), with examples of nucleus extraction and classification.

Keywords

cellular biophysics; computer graphics; diseases; image classification; image segmentation; medical computing; medical image processing; pattern clustering; Feulgen colorations; Papanicolaou colorations; PdEs-based morphology; clustering; computer-aided diagnostic; cytological slides; cytopathology; formalism; geometric diffusion; graphs; nucleus classification; nucleus extraction; segmentation; Equations; Feature extraction; Image color analysis; Image segmentation; Level set; Mathematical model; Morphology; PdEs; classification; cytology; morphology; segmentation; weighted graphs;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on

Conference_Location

Barcelona

ISSN

1945-7928

Print_ISBN

978-1-4577-1857-1

Type

conf

DOI

10.1109/ISBI.2012.6235886

Filename

6235886