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Items: 1 to 20 of 109

1.

High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.

Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A.

IEEE Trans Biomed Eng. 2012 May;59(5):1240-52. doi: 10.1109/TBME.2011.2179546. Epub 2011 Dec 13.

PMID:
22180503
2.

Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays.

Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):230-8.

PMID:
20425992
3.

A high-throughput active contour scheme for segmentation of histopathological imagery.

Xu J, Janowczyk A, Chandran S, Madabhushi A.

Med Image Anal. 2011 Dec;15(6):851-62. doi: 10.1016/j.media.2011.04.002. Epub 2011 Apr 28.

4.

Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.

Fatakdawala H, Xu J, Basavanhally A, Bhanot G, Ganesan S, Feldman M, Tomaszewski JE, Madabhushi A.

IEEE Trans Biomed Eng. 2010 Jul;57(7):1676-89. doi: 10.1109/TBME.2010.2041232. Epub 2010 Feb 17.

PMID:
20172780
5.

Contour detection and hierarchical image segmentation.

Arbeláez P, Maire M, Fowlkes C, Malik J.

IEEE Trans Pattern Anal Mach Intell. 2011 May;33(5):898-916. doi: 10.1109/TPAMI.2010.161.

PMID:
20733228
6.

Automated image analysis for high-throughput quantitative detection of ER and PR expression levels in large-scale clinical studies: the TEAM Trial Experience.

Faratian D, Kay C, Robson T, Campbell FM, Grant M, Rea D, Bartlett JM.

Histopathology. 2009 Nov;55(5):587-93. doi: 10.1111/j.1365-2559.2009.03419.x.

PMID:
19912364
7.

A fast and efficient segmentation scheme for cell microscopic image.

Lebrun G, Charrier C, Lezoray O, Meurie C, Cardot H.

Cell Mol Biol (Noisy-le-grand). 2007 Apr 27;53(2):51-61.

PMID:
17531140
8.

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
9.

Improved automatic detection and segmentation of cell nuclei in histopathology images.

Al-Kofahi Y, Lassoued W, Lee W, Roysam B.

IEEE Trans Biomed Eng. 2010 Apr;57(4):841-52. doi: 10.1109/TBME.2009.2035102. Epub 2009 Oct 30.

PMID:
19884070
10.

Multiple biomarker tissue microarrays: bioinformatics and practical approaches.

Bentzen SM, Buffa FM, Wilson GD.

Cancer Metastasis Rev. 2008 Sep;27(3):481-94. doi: 10.1007/s10555-008-9145-8. Review.

PMID:
18437294
11.

The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line.

Conway CM, O'Shea D, O'Brien S, Lawler DK, Dodrill GD, O'Grady A, Barrett H, Gulmann C, O'Driscoll L, Gallagher WM, Kay EW, O'Shea DG.

BMC Bioinformatics. 2006 May 17;7:256.

12.

A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method.

Rodríguez R, Alarcón TE, Pacheco O.

Comput Biol Med. 2005 Oct;35(8):665-86.

PMID:
16124989
13.

A new approach to the validation of tissue microarrays.

Goethals L, Perneel C, Debucquoy A, De Schutter H, Borghys D, Ectors N, Geboes K, McBride WH, Haustermans KM.

J Pathol. 2006 Apr;208(5):607-14.

PMID:
16435284
14.

Image segmentation by probabilistic bottom-up aggregation and cue integration.

Alpert S, Galun M, Brandt A, Basri R.

IEEE Trans Pattern Anal Mach Intell. 2012 Feb;34(2):315-26. doi: 10.1109/TPAMI.2011.130.

PMID:
21690639
15.

Novel image analysis approach for quantifying expression of nuclear proteins assessed by immunohistochemistry: application to measurement of oestrogen and progesterone receptor levels in breast cancer.

Rexhepaj E, Brennan DJ, Holloway P, Kay EW, McCann AH, Landberg G, Duffy MJ, Jirstrom K, Gallagher WM.

Breast Cancer Res. 2008;10(5):R89. doi: 10.1186/bcr2187. Epub 2008 Oct 23.

16.

An evolutionary approach for image segmentation.

Amelio A, Pizzuti C.

Evol Comput. 2014 Winter;22(4):525-57. doi: 10.1162/EVCO_a_00115.

PMID:
24256513
17.

Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring.

Rizzardi AE, Johnson AT, Vogel RI, Pambuccian SE, Henriksen J, Skubitz AP, Metzger GJ, Schmechel SC.

Diagn Pathol. 2012 Jun 20;7:42. doi: 10.1186/1746-1596-7-42.

18.

Toward high-throughput, multicriteria protein-structure comparison and analysis.

Shah AA, Folino G, Krasnogor N.

IEEE Trans Nanobioscience. 2010 Jun;9(2):144-55. doi: 10.1109/TNB.2010.2043851.

PMID:
20650704
19.

Impact of visual features on the segmentation of gastroenterology images using normalized cuts.

Riaz F, Silva FB, Ribeiro MD, Coimbra MT.

IEEE Trans Biomed Eng. 2013 May;60(5):1191-201. doi: 10.1109/TBME.2012.2230174. Epub 2012 Nov 27.

PMID:
23204269
20.

Tumor angiogenesis as a prognostic factor in ovarian carcinoma: quantification of endothelial immunoreactivity by image analysis.

Schoell WM, Pieber D, Reich O, Lahousen M, Janicek M, Guecer F, Winter R.

Cancer. 1997 Dec 15;80(12):2257-62.

PMID:
9404702

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