Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 106

1.

A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching.

Chen C, Wang W, Ozolek JA, Rohde GK.

Cytometry A. 2013 May;83(5):495-507. doi: 10.1002/cyto.a.22280. Epub 2013 Apr 8.

2.

Fast globally optimal segmentation of cells in fluorescence microscopy images.

Bergeest JP, Rohr K.

Med Image Comput Comput Assist Interv. 2011;14(Pt 1):645-52.

PMID:
22003673
3.

Accurate Detection of Dysmorphic Nuclei Using Dynamic Programming and Supervised Classification.

Verschuuren M, De Vylder J, Catrysse H, Robijns J, Philips W, De Vos WH.

PLoS One. 2017 Jan 26;12(1):e0170688. doi: 10.1371/journal.pone.0170688. eCollection 2017. Erratum in: PLoS One. 2017 Mar 6;12 (3):e0173701.

4.

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
5.

Empirical gradient threshold technique for automated segmentation across image modalities and cell lines.

Chalfoun J, Majurski M, Peskin A, Breen C, Bajcsy P, Brady M.

J Microsc. 2015 Oct;260(1):86-99. doi: 10.1111/jmi.12269. Epub 2015 Jun 5.

PMID:
26046924
6.

Images as occlusions of textures: a framework for segmentation.

McCann MT, Mixon DG, Fickus MC, Castro CA, Ozolek JA, Kovacevic J.

IEEE Trans Image Process. 2014 May;23(5):2033-46. doi: 10.1109/TIP.2014.2307475.

PMID:
24710403
7.

Embedding topic discovery in conditional random fields model for segmenting nuclei using multispectral data.

Wu X, Amrikachi M, Shah SK.

IEEE Trans Biomed Eng. 2012 Jun;59(6):1539-49. doi: 10.1109/TBME.2012.2188892. Epub 2012 Feb 24.

PMID:
22374343
8.

Robust and automated three-dimensional segmentation of densely packed cell nuclei in different biological specimens with Lines-of-Sight decomposition.

Mathew B, Schmitz A, Muñoz-Descalzo S, Ansari N, Pampaloni F, Stelzer EH, Fischer SC.

BMC Bioinformatics. 2015 Jun 8;16:187. doi: 10.1186/s12859-015-0617-x.

9.

Ranked retrieval of segmented nuclei for objective assessment of cancer gene repositioning.

Cukierski WJ, Nandy K, Gudla P, Meaburn KJ, Misteli T, Foran DJ, Lockett SJ.

BMC Bioinformatics. 2012 Sep 12;13:232. doi: 10.1186/1471-2105-13-232.

10.

Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework.

Bergmeir C, García Silvente M, Benítez JM.

Comput Methods Programs Biomed. 2012 Sep;107(3):497-512. doi: 10.1016/j.cmpb.2011.09.017. Epub 2012 Feb 10.

PMID:
22306072
11.

Bright field microscopy as an alternative to whole cell fluorescence in automated analysis of macrophage images.

Selinummi J, Ruusuvuori P, Podolsky I, Ozinsky A, Gold E, Yli-Harja O, Aderem A, Shmulevich I.

PLoS One. 2009 Oct 22;4(10):e7497. doi: 10.1371/journal.pone.0007497.

12.

Detecting and segmenting cell nuclei in two-dimensional microscopy images.

Liu C, Shang F, Ozolek JA, Rohde GK.

J Pathol Inform. 2016 Oct 21;7:42. doi: 10.4103/2153-3539.192810. eCollection 2016.

13.

Supervised learning framework for screening nuclei in tissue sections.

Nandy K, Gudla PR, Amundsen R, Meaburn KJ, Misteli T, Lockett SJ.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5989-92. doi: 10.1109/IEMBS.2011.6091480.

PMID:
22255704
14.

Learning a cost function for microscope image segmentation.

Nilufar S, Perkins TJ.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:5506-9. doi: 10.1109/EMBC.2014.6944873.

PMID:
25571241
15.

Learning cellular texture features in microscopic cancer cell images for automated cell-detection.

Kazmar T, Smid M, Fuchs M, Luber B, Mattes J.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:49-52. doi: 10.1109/IEMBS.2010.5626299.

PMID:
21095879
16.

Detection and segmentation of cell nuclei in virtual microscopy images: a minimum-model approach.

Wienert S, Heim D, Saeger K, Stenzinger A, Beil M, Hufnagl P, Dietel M, Denkert C, Klauschen F.

Sci Rep. 2012;2:503. doi: 10.1038/srep00503. Epub 2012 Jul 11.

17.

Real-time 3D image segmentation by user-constrained template deformation.

Mory B, Somphone O, Prevost R, Ardon R.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):561-8.

PMID:
23285596
18.

Segmenting clustered nuclei using H-minima transform-based marker extraction and contour parameterization.

Jung C, Kim C.

IEEE Trans Biomed Eng. 2010 Oct;57(10):2600-4. doi: 10.1109/TBME.2010.2060336. Epub 2010 Jul 23.

PMID:
20656653
19.

Segmenting images by combining selected atlases on manifold.

Cao Y, Yuan Y, Li X, Turkbey B, Choyke PL, Yan P.

Med Image Comput Comput Assist Interv. 2011;14(Pt 3):272-9.

PMID:
22003709
20.

Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields.

Gupta L, Sisodia RS, Pallavi V, Firtion C, Ramachandran G.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7219-22. doi: 10.1109/IEMBS.2011.6091824.

PMID:
22256004

Supplemental Content

Support Center