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1.

Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3'-Diaminobenzidine&Haematoxylin.

Korzynska A, Roszkowiak L, Lopez C, Bosch R, Witkowski L, Lejeune M.

Diagn Pathol. 2013 Mar 25;8:48. doi: 10.1186/1746-1596-8-48.

2.

Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting.

Kong H, Gurcan M, Belkacem-Boussaid K.

IEEE Trans Med Imaging. 2011 Sep;30(9):1661-77. doi: 10.1109/TMI.2011.2141674. Epub 2011 Apr 11.

3.

Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin.

Haggerty JM, Wang XN, Dickinson A, O'Malley CJ, Martin EB.

BMC Med Imaging. 2014 Feb 12;14:7. doi: 10.1186/1471-2342-14-7.

4.

A general framework for the segmentation of follicular lymphoma virtual slides.

Oger M, Belhomme P, Gurcan MN.

Comput Med Imaging Graph. 2012 Sep;36(6):442-51. doi: 10.1016/j.compmedimag.2012.05.003. Epub 2012 Jun 18.

5.

A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.

Abbas Q, Garcia IF, Emre Celebi M, Ahmad W, Mushtaq Q.

Skin Res Technol. 2013 Feb;19(1):e490-7. doi: 10.1111/j.1600-0846.2012.00670.x. Epub 2012 Aug 13.

PMID:
22882675
6.

Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium.

Konsti J, Lundin M, Linder N, Haglund C, Blomqvist C, Nevanlinna H, Aaltonen K, Nordling S, Lundin J.

Diagn Pathol. 2012 Mar 21;7:29. doi: 10.1186/1746-1596-7-29.

7.

Automatic nuclei segmentation in H&E stained breast cancer histopathology images.

Veta M, van Diest PJ, Kornegoor R, Huisman A, Viergever MA, Pluim JP.

PLoS One. 2013 Jul 29;8(7):e70221. doi: 10.1371/journal.pone.0070221. Print 2013.

8.
9.

How to measure image quality in tissue-based diagnosis (diagnostic surgical pathology).

Kayser K, Görtler J, Metze K, Goldmann T, Vollmer E, Mireskandari M, Kosjerina Z, Kayser G.

Diagn Pathol. 2008 Jul 15;3 Suppl 1:S11. doi: 10.1186/1746-1596-3-S1-S11.

10.

A wrapper-based approach to image segmentation and classification.

Farmer ME, Jain AK.

IEEE Trans Image Process. 2005 Dec;14(12):2060-72.

PMID:
16370459
11.

Computerized lesion segmentation of breast ultrasound based on marker-controlled watershed transformation.

Gómez W, Leija L, Alvarenga AV, Infantosi AF, Pereira WC.

Med Phys. 2010 Jan;37(1):82-95.

PMID:
20175469
12.

Histopathological image analysis for centroblasts classification through dimensionality reduction approaches.

Kornaropoulos EN, Niazi MK, Lozanski G, Gurcan MN.

Cytometry A. 2014 Mar;85(3):242-55. doi: 10.1002/cyto.a.22432. Epub 2013 Dec 26.

13.

A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE.

Yang F, Qin W, Xie Y, Wen T, Gu J.

Biomed Eng Online. 2012 Oct 30;11:82. doi: 10.1186/1475-925X-11-82.

14.

Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: adaptive disconnection algorithm.

Zhao L, Ruotsalainen U, Hirvonen J, Hietala J, Tohka J.

Med Image Anal. 2010 Jun;14(3):360-72. doi: 10.1016/j.media.2010.02.001. Epub 2010 Feb 10.

PMID:
20303318
15.

Toward objective evaluation of image segmentation algorithms.

Unnikrishnan R, Pantofaru C, Hebert M.

IEEE Trans Pattern Anal Mach Intell. 2007 Jun;29(6):929-44.

PMID:
17431294
16.

Breast mass segmentation in mammography using plane fitting and dynamic programming.

Song E, Jiang L, Jin R, Zhang L, Yuan Y, Li Q.

Acad Radiol. 2009 Jul;16(7):826-35. doi: 10.1016/j.acra.2008.11.014. Epub 2009 Apr 10.

PMID:
19362024
17.

Computer-based grading of haematoxylin-eosin stained tissue sections of urinary bladder carcinomas.

Spyridonos P, Ravazoula P, Cavouras D, Berberidis K, Nikiforidis G.

Med Inform Internet Med. 2001 Jul-Sep;26(3):179-90.

PMID:
11706928
18.

A new automated method for the segmentation and characterization of breast masses on ultrasound images.

Cui J, Sahiner B, Chan HP, Nees A, Paramagul C, Hadjiiski LM, Zhou C, Shi J.

Med Phys. 2009 May;36(5):1553-65.

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20.

The effect of image translation table on diagnostic efficacy of myocardial perfusion SPECT studies.

Siennicki J, Kuśmierek J, Kovacevic-Kuśmierek K, Bieńkiewicz M, Chiżyński K, Płachcińska A.

Nucl Med Rev Cent East Eur. 2010;13(2):64-9.

PMID:
21598229
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