Probabilistic multi-compartmenty geometric model: Application to cell segmentation

S. Farhand, R. B. Montero, X. Vial, D. T. Nguyen, M. Reardon, S. M. Pham, F. M. Andreopoulos, G. Tsechpenakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We describe a cell segmentation approach based on a probabilistic formulation of multi-compartment level set-based deformable model. We aim at the simultaneous cell partitioning into nucleus and membrane. We consider relative topology of the two distinct cell compartments, while we constrain our solution using shape prior information. Our method integrates geometric models with learning-based classification in a simple graphical model, such that it captures not only the cell compartments but also their topological relationship. We apply our framework to (static) fluorescent microscopy images, where the cultured cells are stained with calcein AM.

Original languageEnglish (US)
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages174-177
Number of pages4
DOIs
StatePublished - Aug 15 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: May 2 2012May 5 2012

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
CountrySpain
CityBarcelona
Period5/2/125/5/12

Keywords

  • cell segmentation
  • fluorescent microscopy
  • multi-compartment geometric model

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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    Farhand, S., Montero, R. B., Vial, X., Nguyen, D. T., Reardon, M., Pham, S. M., Andreopoulos, F. M., & Tsechpenakis, G. (2012). Probabilistic multi-compartmenty geometric model: Application to cell segmentation. In 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings (pp. 174-177). [6235512] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2012.6235512