Fractional Entropy Based Active Contour Segmentation of Cell Nuclei in Actin-Tagged Confocal Microscopy Images

Leila Meziou 1 Aymeric Histace 1, * Frédéric Precioso 2 Bogdan Matuszewski 3 Franck Carreiras 4
* Auteur correspondant
1 ICI
ETIS - Equipes Traitement de l'Information et Systèmes
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe KEIA
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : In the framework of cell structure characterization for predictive oncology, we pro- pose in this paper an unsupervised statistical region based active contour approach in- tegrating an original fractional entropy measure for single channel actin tagged fluo- rescence confocal microscopy image segmentation. Following description of statistical based active contour segmentation and the mathematical definition of the proposed frac- tional entropy descriptor, we demonstrate comparative segmentation results between the proposed approach and standard Shannon's entropy obtained for nuclei segmentation. We show that the unsupervised proposed statistical based approach integrating the frac- tional entropy measure leads to very satisfactory segmentation of the cell nuclei from which shape characterization can be subsequently used for the therapy progress assess- ment.
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Communication dans un congrès
Conference on Medical Image Understanding and Analysis, Jul 2012, Swansea, United Kingdom. pp.117-123, 2012
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Contributeur : Aymeric Histace <>
Soumis le : mercredi 6 juin 2012 - 13:17:54
Dernière modification le : mardi 20 janvier 2015 - 16:47:01
Document(s) archivé(s) le : jeudi 15 décembre 2016 - 12:28:53

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Leila Meziou, Aymeric Histace, Frédéric Precioso, Bogdan Matuszewski, Franck Carreiras. Fractional Entropy Based Active Contour Segmentation of Cell Nuclei in Actin-Tagged Confocal Microscopy Images. Conference on Medical Image Understanding and Analysis, Jul 2012, Swansea, United Kingdom. pp.117-123, 2012. <hal-00704853>

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