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Items: 1 to 20 of 130

1.

Impact of image segmentation on high-content screening data quality for SK-BR-3 cells.

Hill AA, LaPan P, Li Y, Haney S.

BMC Bioinformatics. 2007 Sep 14;8:340.

3.

A computerized cellular imaging system for high content analysis in Monastrol suppressor screens.

Zhou X, Cao X, Perlman Z, Wong ST.

J Biomed Inform. 2006 Apr;39(2):115-25. Epub 2005 Jun 22.

4.

An automated high-content screening image analysis pipeline for the identification of selective autophagic inducers in human cancer cell lines.

Kriston-Vizi J, Lim CA, Condron P, Chua K, Wasser M, Flotow H.

J Biomol Screen. 2010 Aug;15(7):869-81. doi: 10.1177/1087057110373393. Epub 2010 Jun 14.

PMID:
20547532
5.

A fast, fully automated cell segmentation algorithm for high-throughput and high-content screening.

Fenistein D, Lenseigne B, Christophe T, Brodin P, Genovesio A.

Cytometry A. 2008 Oct;73(10):958-64. doi: 10.1002/cyto.a.20627.

6.

Analysis and recognition of touching cell images based on morphological structures.

Yu D, Pham TD, Zhou X.

Comput Biol Med. 2009 Jan;39(1):27-39. doi: 10.1016/j.compbiomed.2008.10.006. Epub 2008 Dec 12.

PMID:
19084831
7.

Nonnegative mixed-norm preconditioning for microscopy image segmentation.

Li K, Kanade T.

Inf Process Med Imaging. 2009;21:362-73.

PMID:
19694277
8.

Template-driven segmentation of confocal microscopy images.

Chen YC, Chen YC, Chiang AS.

Comput Methods Programs Biomed. 2008 Mar;89(3):239-47. doi: 10.1016/j.cmpb.2007.11.007.

PMID:
18178286
9.

Automated Arabidopsis plant root cell segmentation based on SVM classification and region merging.

Marcuzzo M, Quelhas P, Campilho A, Mendonça AM, Campilho A.

Comput Biol Med. 2009 Sep;39(9):785-93. doi: 10.1016/j.compbiomed.2009.06.008. Epub 2009 Jul 14.

PMID:
19604506
10.

A multidimensional segmentation evaluation for medical image data.

Cárdenes R, de Luis-García R, Bach-Cuadra M.

Comput Methods Programs Biomed. 2009 Nov;96(2):108-24. doi: 10.1016/j.cmpb.2009.04.009. Epub 2009 May 14.

PMID:
19446358
11.

Cell nuclei and cytoplasm joint segmentation using the sliding band filter.

Quelhas P, Marcuzzo M, Mendonça AM, Campilho A.

IEEE Trans Med Imaging. 2010 Aug;29(8):1463-73. doi: 10.1109/TMI.2010.2048253. Epub 2010 Jun 3.

PMID:
20525532
12.

Color image segmentation based on mean shift and normalized cuts.

Tao W, Jin H, Zhang Y.

IEEE Trans Syst Man Cybern B Cybern. 2007 Oct;37(5):1382-9.

PMID:
17926718
13.

Performance evaluation and benchmarking of six-page segmentation algorithms.

Shafait F, Keysers D, Breuel T.

IEEE Trans Pattern Anal Mach Intell. 2008 Jun;30(6):941-54. doi: 10.1109/TPAMI.2007.70837.

PMID:
18421102
15.

Comparison of multivariate data analysis strategies for high-content screening.

Kümmel A, Selzer P, Beibel M, Gubler H, Parker CN, Gabriel D.

J Biomol Screen. 2011 Mar;16(3):338-47. doi: 10.1177/1087057110395390. Epub 2011 Feb 18.

PMID:
21335595
16.
17.

Cellular phenotype recognition for high-content RNA interference genome-wide screening.

Wang J, Zhou X, Bradley PL, Chang SF, Perrimon N, Wong ST.

J Biomol Screen. 2008 Jan;13(1):29-39. doi: 10.1177/1087057107311223.

PMID:
18227224
18.

Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection.

Matula P, Kumar A, Wörz I, Erfle H, Bartenschlager R, Eils R, Rohr K.

Cytometry A. 2009 Apr;75(4):309-18. doi: 10.1002/cyto.a.20662.

19.

Automated image detection and segmentation in blood smears.

Poon SS, Ward RK, Palcic B.

Cytometry. 1992;13(7):766-74.

20.

A comparative study of individual and ensemble majority vote cDNA microarray image segmentation schemes, originating from a spot-adjustable based restoration framework.

Daskalakis A, Glotsos D, Kostopoulos S, Cavouras D, Nikiforidis G.

Comput Methods Programs Biomed. 2009 Jul;95(1):72-88. doi: 10.1016/j.cmpb.2009.01.007. Epub 2009 Mar 10.

PMID:
19278747

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