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    Results: 1 to 20 of 1033

    1.

    Visualizing and clustering high throughput sub-cellular localization imaging.

    Hamilton NA, Teasdale RD.

    BMC Bioinformatics. 2008 Feb 4;9:81.PMID: 18241353 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Fast automated cell phenotype image classification.

    Hamilton NA, Pantelic RS, Hanson K, Teasdale RD.

    BMC Bioinformatics. 2007 Mar 30;8:110.PMID: 17394669 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Statistical and visual differentiation of subcellular imaging.

    Hamilton NA, Wang JT, Kerr MC, Teasdale RD.

    BMC Bioinformatics. 2009 Mar 22;10:94.PMID: 19302715 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images.

    Chen SC, Murphy RF.

    BMC Bioinformatics. 2006 Feb 23;7:90.PMID: 16504075 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens.

    Yin Z, Zhou X, Bakal C, Li F, Sun Y, Perrimon N, Wong ST.

    BMC Bioinformatics. 2008 Jun 5;9:264.PMID: 18534020 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

    Huang K, Murphy RF.

    BMC Bioinformatics. 2004 Jun 18;5:78.PMID: 15207009 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Spectral embedding finds meaningful (relevant) structure in image and microarray data.

    Higgs BW, Weller J, Solka JL.

    BMC Bioinformatics. 2006 Feb 16;7:74.PMID: 16483359 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images.

    Boland MV, Markey MK, Murphy RF.

    Cytometry. 1998 Nov 1;33(3):366-75.PMID: 9822349 [PubMed - indexed for MEDLINE]Related articles

    9.

    Automatic volumetry on MR brain images can support diagnostic decision making.

    Heckemann RA, Hammers A, Rueckert D, Aviv RI, Harvey CJ, Hajnal JV.

    BMC Med Imaging. 2008 May 23;8:9.PMID: 18500985 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    A semi-automatic clustering-based level set method for segmentation of endocardium from MSCT images.

    Su Q, Wong KY, Fung GS.

    Conf Proc IEEE Eng Med Biol Soc. 2007;2007:6024-7.PMID: 18003387 [PubMed - indexed for MEDLINE]Related articles

    11.

    Random subwindows and extremely randomized trees for image classification in cell biology.

    Marée R, Geurts P, Wehenkel L.

    BMC Cell Biol. 2007 Jul 10;8 Suppl 1:S2.PMID: 17634092 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    A reliable method for cell phenotype image classification.

    Nanni L, Lumini A.

    Artif Intell Med. 2008 Jun;43(2):87-97. Epub 2008 Apr 28.PMID: 18440791 [PubMed - indexed for MEDLINE]Related articles

    13.

    Normalization of multicolor fluorescence in situ hybridization (M-FISH) images for improving color karyotyping.

    Wang YP, Castleman KR.

    Cytometry A. 2005 Apr;64(2):101-9.PMID: 15729736 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    A standardised protocol for texture feature analysis of endoscopic images in gynaecological cancer.

    Neofytou MS, Tanos V, Pattichis MS, Pattichis CS, Kyriacou EC, Koutsouris DD.

    Biomed Eng Online. 2007 Nov 29;6:44.PMID: 18047655 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers.

    Karaçali B, Vamvakidou AP, Tözeren A.

    BMC Med Imaging. 2007 Sep 6;7:7.PMID: 17822559 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    Image processing and 2-D morphometry.

    Turek J.

    Curr Protoc Cytom. 2001 May;Chapter 10:Unit 10.11.PMID: 18770675 [PubMed - indexed for MEDLINE]Related articles

    17.

    3D visualization and stereographic techniques for medical research and education.

    Rydmark M, Kling-Petersen T, Pascher R, Philip F.

    Stud Health Technol Inform. 2001;81:434-9.PMID: 11317785 [PubMed - indexed for MEDLINE]Related articles

    18.

    Component-based visual clustering using the self-organizing map.

    Hussain M, Eakins JP.

    Neural Netw. 2007 Mar;20(2):260-73. Epub 2006 Dec 21.PMID: 17187961 [PubMed - indexed for MEDLINE]Related articles

    19.

    High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles.

    Li F, Zhou X, Zhu J, Ma J, Huang X, Wong ST.

    BMC Biotechnol. 2007 Oct 9;7:66.PMID: 17925027 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    GIST: an interactive, GPU-based level set segmentation tool for 3D medical images.

    Cates JE, Lefohn AE, Whitaker RT.

    Med Image Anal. 2004 Sep;8(3):217-31.PMID: 15450217 [PubMed - indexed for MEDLINE]Related articles

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