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Cell nuclei detection using globally optimal active contours with shape prior

Jonas De Vylder UGent, Jan Aelterman UGent, Mado Vandewoestyne UGent, Trees Lepez UGent, Dieter Deforce UGent and Wilfried Philips UGent (2012) Lecture Notes in Computer Science. 7432. p.115-124
abstract
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task for a wide range of biological applications. Blur, clutter, bleed through and partial occlusion of nuclei make this a challenging task for automated detection of individual nuclei using image analysis. This paper proposes a novel and robust detection method based on the active contour framework. The method exploits prior knowledge of the nucleus shape in order to better detect individual nuclei. The method is formulated as the optimization of a convex energy function. The proposed method shows accurate detection results even for clusters of nuclei where state of the art methods fail.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
IMAGE-ANALYSIS, MICROSCOPY, SEGMENTATION, SOFTWARE, TRACKING
in
Lecture Notes in Computer Science
Lect. Notes Comput. Sci.
editor
George Bebis, Richard Boyle, Bharam Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen Schulze, Daniel Acevedo, Klaus Mueller and Michael Papka
volume
7432
issue title
Advances in visual computing, ISVC 2012, pt II
pages
115 - 124
publisher
Springer
place of publication
Berlin, Germany
conference name
8th International symposium on Visual Computing (ISVC 2012)
conference location
Rethymnon, Crete, Greece
conference start
2012-07-16
conference end
2012-07-18
Web of Science type
Proceedings Paper
Web of Science id
000363265800012
ISSN
0302-9743
ISBN
9783642331909
9783642331916
DOI
10.1007/978-3-642-33191-6_12
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2130574
handle
http://hdl.handle.net/1854/LU-2130574
date created
2012-06-04 11:30:53
date last changed
2015-11-16 14:06:59
@inproceedings{2130574,
  abstract     = {Cell nuclei detection in fluorescent microscopic images is an important and time consuming task for a wide range of biological applications. Blur, clutter, bleed through and partial occlusion of nuclei make this a challenging task for automated detection of individual nuclei using image analysis. This paper proposes a novel and robust detection method based on the active contour framework. The method exploits prior knowledge of the nucleus shape in order to better detect individual nuclei. The method is formulated as the optimization of a convex energy function. The proposed method shows accurate detection results even for clusters of nuclei where state of the art methods fail.},
  author       = {De Vylder, Jonas and Aelterman, Jan and Vandewoestyne, Mado and Lepez, Trees and Deforce, Dieter and Philips, Wilfried},
  booktitle    = {Lecture Notes in Computer Science},
  editor       = {Bebis, George and Boyle, Richard and Parvin, Bharam and Koracin, Darko and Fowlkes, Charless and Wang, Sen and Choi, Min-Hyung and Mantler, Stephan and Schulze, J{\"u}rgen and Acevedo, Daniel and Mueller, Klaus and Papka, Michael},
  isbn         = {9783642331909},
  issn         = {0302-9743},
  keyword      = {IMAGE-ANALYSIS,MICROSCOPY,SEGMENTATION,SOFTWARE,TRACKING},
  language     = {eng},
  location     = {Rethymnon, Crete, Greece},
  pages        = {115--124},
  publisher    = {Springer},
  title        = {Cell nuclei detection using globally optimal active contours with shape prior},
  url          = {http://dx.doi.org/10.1007/978-3-642-33191-6\_12},
  volume       = {7432},
  year         = {2012},
}

Chicago
De Vylder, Jonas, Jan Aelterman, Mado Vandewoestyne, Trees Lepez, Dieter Deforce, and Wilfried Philips. 2012. “Cell Nuclei Detection Using Globally Optimal Active Contours with Shape Prior.” In Lecture Notes in Computer Science, ed. George Bebis, Richard Boyle, Bharam Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, et al., 7432:115–124. Berlin, Germany: Springer.
APA
De Vylder, Jonas, Aelterman, J., Vandewoestyne, M., Lepez, T., Deforce, D., & Philips, W. (2012). Cell nuclei detection using globally optimal active contours with shape prior. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, C. Fowlkes, S. Wang, M.-H. Choi, et al. (Eds.), Lecture Notes in Computer Science (Vol. 7432, pp. 115–124). Presented at the 8th International symposium on Visual Computing (ISVC 2012), Berlin, Germany: Springer.
Vancouver
1.
De Vylder J, Aelterman J, Vandewoestyne M, Lepez T, Deforce D, Philips W. Cell nuclei detection using globally optimal active contours with shape prior. In: Bebis G, Boyle R, Parvin B, Koracin D, Fowlkes C, Wang S, et al., editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2012. p. 115–24.
MLA
De Vylder, Jonas, Jan Aelterman, Mado Vandewoestyne, et al. “Cell Nuclei Detection Using Globally Optimal Active Contours with Shape Prior.” Lecture Notes in Computer Science. Ed. George Bebis et al. Vol. 7432. Berlin, Germany: Springer, 2012. 115–124. Print.