DocumentCode :
2573911
Title :
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
Link To Document :
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