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Items: 1 to 20 of 80

1.

A Scalable Framework For Segmenting Magnetic Resonance Images.

Hore P, Hall LO, Goldgof DB, Gu Y, Maudsley AA, Darkazanli A.

J Signal Process Syst. 2009 Jan 1;54(1-3):183-203.

2.

Brain tissue segmentation using fuzzy clustering techniques.

Sucharitha M, Geetha KP.

Technol Health Care. 2015;23(5):571-80. doi: 10.3233/THC-151012.

PMID:
26410118
3.

Generalized rough fuzzy c-means algorithm for brain MR image segmentation.

Ji Z, Sun Q, Xia Y, Chen Q, Xia D, Feng D.

Comput Methods Programs Biomed. 2012 Nov;108(2):644-55. doi: 10.1016/j.cmpb.2011.10.010. Epub 2011 Nov 15.

PMID:
22088865
4.

A fast and automatic segmentation method of MR brain images based on genetic fuzzy clustering algorithm.

Nie S, Zhang Y, Li W, Chen Z.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5628-33.

PMID:
18003289
5.

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.

Pipitone J, Park MT, Winterburn J, Lett TA, Lerch JP, Pruessner JC, Lepage M, Voineskos AN, Chakravarty MM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 Nov 1;101:494-512. doi: 10.1016/j.neuroimage.2014.04.054. Epub 2014 Apr 29.

PMID:
24784800
6.
7.

Effective fuzzy c-means based kernel function in segmenting medical images.

Kannan SR, Ramathilagam S, Sathya A, Pandiyarajan R.

Comput Biol Med. 2010 Jun;40(6):572-9. doi: 10.1016/j.compbiomed.2010.04.001. Epub 2010 May 4.

PMID:
20444444
8.

A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering.

Rezaee MR, van der Zwet PJ, Lelieveldt BP, van der Geest RJ, Reiber JH.

IEEE Trans Image Process. 2000;9(7):1238-48. doi: 10.1109/83.847836.

PMID:
18262961
9.

[MR brain image segmentation based on modified fuzzy C-means clustering using fuzzy GIbbs random field].

Liao L, Lin T, Li B, Zhang W.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008 Dec;25(6):1264-70. Chinese.

PMID:
19166189
10.

A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images.

Suckling J, Sigmundsson T, Greenwood K, Bullmore ET.

Magn Reson Imaging. 1999 Sep;17(7):1065-76.

PMID:
10463658
11.

Adaptive fuzzy segmentation of magnetic resonance images.

Pham DL, Prince JL.

IEEE Trans Med Imaging. 1999 Sep;18(9):737-52.

PMID:
10571379
12.

A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image.

Ji ZX, Sun QS, Xia DS.

Comput Med Imaging Graph. 2011 Jul;35(5):383-97. doi: 10.1016/j.compmedimag.2010.12.001. Epub 2011 Jan 22.

PMID:
21256710
13.

Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model.

Chen Y, Zhao B, Zhang J, Zheng Y.

Magn Reson Imaging. 2014 Sep;32(7):941-55. doi: 10.1016/j.mri.2014.05.003. Epub 2014 May 13.

PMID:
24832358
14.

A fully automated algorithm under modified FCM framework for improved brain MR image segmentation.

Sikka K, Sinha N, Singh PK, Mishra AK.

Magn Reson Imaging. 2009 Sep;27(7):994-1004. doi: 10.1016/j.mri.2009.01.024. Epub 2009 Apr 23.

PMID:
19395212
15.

A mean shift based fuzzy c-means algorithm for image segmentation.

Zhou H, Schaefer G, Shi C.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3091-4. doi: 10.1109/IEMBS.2008.4649857.

PMID:
19163360
16.

Parallel fuzzy connected image segmentation on GPU.

Zhuge Y, Cao Y, Udupa JK, Miller RW.

Med Phys. 2011 Jul;38(7):4365-71.

17.

Optimizing the automatic segmentation of the left ventricle in magnetic resonance images.

Angelie E, de Koning PJ, Danilouchkine MG, van Assen HC, Koning G, van der Geest RJ, Reiber JH.

Med Phys. 2005 Feb;32(2):369-75.

PMID:
15789581
18.

Multispectral magnetic resonance images segmentation using fuzzy Hopfield neural network.

Lin JS, Cheng KS, Mao CW.

Int J Biomed Comput. 1996 Aug;42(3):205-14.

PMID:
8894776
19.

A fuzzy clustering based segmentation system as support to diagnosis in medical imaging.

Masulli F, Schenone A.

Artif Intell Med. 1999 Jun;16(2):129-47.

PMID:
10378441
20.

A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI.

Lin M, Chan S, Chen JH, Chang D, Nie K, Chen ST, Lin CJ, Shih TC, Nalcioglu O, Su MY.

Med Phys. 2011 Jan;38(1):5-14.

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