National Institute of Standards and Technology

Publication Classification:

Segmentation Method = Active contours + Level Set

Object of Interest = Synthetic (digital model)

  • "Debeir O, Camby I, Kiss R, Van Ham P, Decaestecker C: A model-based approach for automated in vitro cell tracking and chemotaxis analyses. Cytometry A 2004, 60:29–40."
  • "Delgado-Gonzalo R, Chenouard N, Unser M: Spline-based deforming ellipsoids for interactive 3D bioimage segmentation. IEEE Trans Image Process 2013, 22:3926–3940."
  • "Du C-J, Hawkins PT, Stephens LR, Bretschneider T: 3D time series analysis of cell shape using Laplacian approaches. BMC Bioinformatics 2013, 14:296."
  • "Indhumathi C, Cai YY, Guan YQ, Opas M: An automatic segmentation algorithm for 3D cell cluster splitting using volumetric confocal images. J Microsc 2011, 243:60–76."
  • "McCullough DP, Gudla PR, Harris BS, Collins J a, Meaburn KJ, Nakaya M a, Yamaguchi TP, Misteli T, Lockett SJ: Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming. IEEE Trans Med Imaging 2008, 27:723–34."
  • "Yang X, Padfield D: Wavelet-initialized 3D level-set cell segmentation with local background support. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on; 2014:814–817."



Survey publication disclaimer:

The National Institute of Standards and Technology (NIST) uses substantial efforts to select publications that meet the publication survey criteria. However, NIST makes no warranties that the survey is exhaustive. The survey and its contents are provided by NIST as a public service and are strictly provided "AS IS" with no warranties of any type. Furthermore, NIST does not make any statements about quality of publications by including them in the survey classification and does not imply any recommendation or endorsement.
Date created: April 10, 2014 | Last updated: