Medical image fusion via discrete stationary wavelet transform and an enhanced radial basis function neural network

Pajares, 2004, A wavelet-based image fusion tutorial, Pattern Recognit., 37, 1855, 10.1016/j.patcog.2004.03.010 Li, 2013, Image fusion with guided filtering, IEEE Trans. Image Process., 22, 2864, 10.1109/TIP.2013.2244222 Ma, 2019, Infrared and visible image fusion methods and applications: A survey, Inf. Fusion, 45, 153, 10.1016/j.inffus.2018.02.004 Jiao, 2016, An overview of multi-modal medical image fusion, Neurocomputing, 215, 3, 10.1016/j.neucom.2015.07.160 James, 2014, Medical image fusion: A survey of the state of the art, Inf. Fusion, 19, 4, 10.1016/j.inffus.2013.12.002 Arif, 2020, Fast curvelet transform through genetic algorithm for multimodal medical image fusion, Soft Comput., 24, 1815, 10.1007/s00500-019-04011-5 El-Zahraa, 2016, Current trends in medical image registration and fusion, Egypt. Inform. J., 17, 99, 10.1016/j.eij.2015.09.002 Cheng, 2008, Medical image of PET/CT weighted fusion based on wavelet transform, 2523 Burt, 1983, The Laplacian pyramid as a compact image code, IEEE Trans. Commun., 31, 532, 10.1109/TCOM.1983.1095851 Zheng, 2009, Multi-scale fusion algorithm comparisons: Pyramid, DWT and iterative DWT, 1060 Yang, 2010, Medical image fusion via an effective wavelet-based approach, EURASIP J. Adv. Signal Process., 2010, 10.1155/2010/579341 Tian, 2010, Image fusion algorithm based on regional variance and multi-wavelet bases, 792 Xu, 2016, Medical image fusion using discrete fractional wavelet transform, Biomed. Signal Process. Control, 27, 103, 10.1016/j.bspc.2016.02.008 Liu, 2015, A general framework for image fusion based on multi-scale transform and sparse representation, Inf. Fusion, 24, 147, 10.1016/j.inffus.2014.09.004 Samet, 2017, Multi-focus image fusion using stationary wavelet transform (SWT) with principal component analysis (PCA), 1176 Ganasala, 2019, Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain, Int. J. Imaging Syst. Technol., 30, 544, 10.1002/ima.22393 Ganasala, 2014, CT And MR image fusion scheme in nonsubsampled contourlet transform domain, J. Digit. Imaging, 27, 407, 10.1007/s10278-013-9664-x Bhatnagar, 2013, Directive contrast based multimodal medical image fusion in NSCT domain, IEEE Trans. Multimed., 15, 1014, 10.1109/TMM.2013.2244870 Zhu, 2019, A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain, IEEE Access, 7, 20811, 10.1109/ACCESS.2019.2898111 Liu, 2017, Structure tensor and nonsubsampled shearlet transform based algorithm for CT and MRI image fusion, Neurocomputing, 235, 131, 10.1016/j.neucom.2017.01.006 Singh, 2018, CT And MR image information fusion scheme using a cascaded framework in ripplet and NSST domain, IET Image Process., 12, 696, 10.1049/iet-ipr.2017.0214 Ma, 2017, Infrared and visible image fusion based on visual saliency map and weighted least square optimization, Infrared Phys. Technol., 82, 8, 10.1016/j.infrared.2017.02.005 Gai, 2019, Medical image fusion via PCNN based on edge preservation and improved sparse representation in NSST domain, IEEE Access, 7, 85413, 10.1109/ACCESS.2019.2925424 Huang, 2007, Multi-focus image fusion using pulse coupled neural network, Pattern Recognit. Lett., 28, 1123, 10.1016/j.patrec.2007.01.013 Yin, 2018, Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain, IEEE Trans. Instrum. Meas., 68, 49, 10.1109/TIM.2018.2838778 Panigrahy, 2020, MRI And SPECT image fusion using a weighted parameter adaptive dual channel PCNN, IEEE Signal Process. Lett., 27, 690, 10.1109/LSP.2020.2989054 Liu, 2017, Multi-focus image fusion with a deep convolutional neural network, Inf. Fusion, 36, 191, 10.1016/j.inffus.2016.12.001 Xia, 2019, A novel improved deep convolutional neural network model for medical image fusion, Cluster Comput., 22, 1515, 10.1007/s10586-018-2026-1 Wang, 2020, Multi-modality medical image fusion using convolutional neural network and contrast pyramid, Sensors, 20, 2169, 10.3390/s20082169 Chao, 2018, Multi-modality image fusion based on enhanced fuzzy radial basis function neural networks, Phys. Med., 48, 11, 10.1016/j.ejmp.2018.03.008 Liu, 2011, Using stationary wavelet transformation for signal denoising, 2203 Qayyum, 2017, Facial expression recognition using stationary wavelet transform features, Math. Probl. Eng., 2017, 10.1155/2017/9854050 M. Lang, H. Guo, J.E. Odegard, C.S. Burrus, R.O. Wells, Nonlinear processing of a shift-invariant discrete wavelet transform (DWT) for noise reduction, in: Proceedings of the International Society for Optics and Photonics: Wavelet Applications II, Vol. 2491, 1995, pp. 640–651. Merah, 2015, R-peaks detection based on stationary wavelet transform, Comput. Methods Programs Biomed., 121, 149, 10.1016/j.cmpb.2015.06.003 Chen, 2019, Application of radial basis function artificial neural network to quantify interfacial energies related to membrane fouling in a membrane bioreactor, Bioresour. Technol., 293, 10.1016/j.biortech.2019.122103 Zhao, 2019, Prediction of interfacial interactions related with membrane fouling in a membrane bioreactor based on radial basis function artificial neural network (ANN), Bioresour. Technol., 282, 262, 10.1016/j.biortech.2019.03.044 Chao, 2019, Removal of computed tomography ring artifacts via radial basis function artificial neural networks, Phys. Med. Biol., 64, 10.1088/1361-6560/ab5035 Hempelmann, 2016, An entropy-based evaluation method for knowledge bases of medical information systems, Expert Syst. Appl., 46, 262, 10.1016/j.eswa.2015.10.023 Qu, 2002, Information measure for performance of image fusion, Electron. Lett., 38, 313, 10.1049/el:20020212 Xydeas, 2000, Objective image fusion performance measure, Electron. Lett., 36, 308, 10.1049/el:20000267 Liu, 2011, Objective assessment of multiresolution image fusion algorithms for context enhancement in night vision: a comparative study, IEEE Trans. Pattern Anal. Mach. Intell., 34, 94, 10.1109/TPAMI.2011.109 Sheikh, 2006, Image information and visual quality, IEEE Trans. Image Process., 15, 430, 10.1109/TIP.2005.859378 Chai, 2017, Image fusion using quaternion wavelet transform and multiple features, IEEE Access, 5, 6724, 10.1109/ACCESS.2017.2685178 Benjamin, 2018, Improved medical image fusion based on cascaded PCA and shift invariant wavelet transforms, Int. J. Comput. Assist. Radiol. Surg., 13, 229, 10.1007/s11548-017-1692-4