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Items: 1 to 20 of 194

1.

Speckle noise reduction algorithm for optical coherence tomography based on interval type II fuzzy set.

Puvanathasan P, Bizheva K.

Opt Express. 2007 Nov 26;15(24):15747-58.

PMID:
19550859
2.
3.

General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery.

Wong A, Mishra A, Bizheva K, Clausi DA.

Opt Express. 2010 Apr 12;18(8):8338-52. doi: 10.1364/OE.18.008338.

PMID:
20588679
4.

Wavelet-based statistical approach for speckle reduction in medical ultrasound images.

Gupta S, Chauhan RC, Sexana SC.

Med Biol Eng Comput. 2004 Mar;42(2):189-92.

PMID:
15125148
5.

Homomorphic wavelet thresholding technique for denoising medical ultrasound images.

Gupta S, Chauhan RC, Saxena SC.

J Med Eng Technol. 2005 Sep-Oct;29(5):208-14.

PMID:
16126580
6.

Wavelet domain compounding for speckle reduction in optical coherence tomography.

Xu J, Ou H, Sun C, Chui PC, Yang VX, Lam EY, Wong KK.

J Biomed Opt. 2013 Sep;18(9):096002. doi: 10.1117/1.JBO.18.9.096002.

PMID:
24002189
7.

A wavelet-based method for improving signal-to-noise ratio and contrast in MR images.

Alexander ME, Baumgartner R, Summers AR, Windischberger C, Klarhoefer M, Moser E, Somorjai RL.

Magn Reson Imaging. 2000 Feb;18(2):169-80.

PMID:
10722977
8.

Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter.

Adler DC, Ko TH, Fujimoto JG.

Opt Lett. 2004 Dec 15;29(24):2878-80.

PMID:
15645810
9.

Robust non-homomorphic approach for speckle reduction in medical ultrasound images.

Gupta S, Chauhan RC, Saxena SC.

Med Biol Eng Comput. 2005 Mar;43(2):189-95.

PMID:
15865126
10.

Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters.

Biradar N, Dewal ML, Rohit MK.

Int Sch Res Notices. 2014 Oct 30;2014:876434. doi: 10.1155/2014/876434. eCollection 2014.

11.

Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography.

Zaki F, Wang Y, Su H, Yuan X, Liu X.

Biomed Opt Express. 2017 Apr 26;8(5):2720-2731. doi: 10.1364/BOE.8.002720. eCollection 2017 May 1.

12.

A novel approach to speckle noise filtering based on Artificial Bee Colony algorithm: an ultrasound image application.

Latifo─člu F.

Comput Methods Programs Biomed. 2013 Sep;111(3):561-9. doi: 10.1016/j.cmpb.2013.05.009. Epub 2013 Jun 24.

PMID:
23806680
13.

A fuzzy impulse noise detection and reduction method.

Schulte S, Nachtegael M, De Witte V, Van der Weken D, Kerre EE.

IEEE Trans Image Process. 2006 May;15(5):1153-62.

PMID:
16671296
14.

Speckle noise reduction algorithm with total variation regularization in optical coherence tomography.

Gong G, Zhang H, Yao M.

Opt Express. 2015 Sep 21;23(19):24699-712. doi: 10.1364/OE.23.024699.

PMID:
26406671
15.

Multiresolution edge detection using enhanced fuzzy c-means clustering for ultrasound image speckle reduction.

Tsantis S, Spiliopoulos S, Skouroliakou A, Karnabatidis D, Hazle JD, Kagadis GC.

Med Phys. 2014 Jul;41(7):072903. doi: 10.1118/1.4883815.

PMID:
24989413
16.

Wavelet domain de-noising of time-courses in MR image sequences.

Alexander ME, Baumgartner R, Windischberger C, Moser E, Somorjai RL.

Magn Reson Imaging. 2000 Nov;18(9):1129-1134.

PMID:
11222905
17.

Evaluation of the adaptive speckle suppression filter for coronary optical coherence tomography imaging.

Rogowska J, Brezinski ME.

IEEE Trans Med Imaging. 2000 Dec;19(12):1261-6.

PMID:
11212376
18.
19.

Novel genetic-neuro-fuzzy filter for speckle reduction from sonography images.

Rafiee A, Moradi MH, Farzaneh MR.

J Digit Imaging. 2004 Dec;17(4):292-300.

20.

Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors.

Rabbani H, Vafadust M, Abolmaesumi P, Gazor S.

IEEE Trans Biomed Eng. 2008 Sep;55(9):2152-60. doi: 10.1109/TBME.2008.923140.

PMID:
18713684

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