Publication Classification:

Segmentation Method = Thresholding

Segmentation Evaluation = Pixel-level evaluation

• "Chalfoun J, Majurski M, Peskin A, Breen C, Bajcsy P: Empirical Gradient Threshold Technique for Automated Segmentation across Image Modalities and Cell Lines. J. Microsc. 2014:1–18."

• "Herberich G, Windoffer R, Leube R, Aach T: 3D segmentation of keratin intermediate filaments in confocal laser scanning microscopy. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Boston, MA: IEEE EMBS; 2011:7751–4."

• "Russell RA, Adams NM, Stephens DA, Batty E, Jensen K, Freemont PS: Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture. Biophys J 2009, 96:3379–89."

• "Singh S, Raman S, Rittscher J, Machiraju R: Segmentation Evaluation for Fluorescence Microscopy Images of Biological Objects. In MIAAB 2009 International Workshop Proceedings; 2009:1–5."

• "Yin Z, Kanade T, Chen M: Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation. Med Image Anal 2012, 16:1047–62."

• "Yin Z, Li K, Kanade T, Chen M: Understanding the Optics to Aid Microscopy Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention--MICCAI 2010. Volume 13. Heidelberg: Springer; 2010:209–217."

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.