Survey study of multimodality medical image fusion methods-Reference-Cited by-同舟云学术

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Survey study of multimodality medical image fusion methods

Published:2020-10-15 Issue:4 Volume:80 Page:6369-6396
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tawfik Nahed,Elnemr Heba A.,Fakhr Mahmoud,Dessouky Moawad I.,Abd El-Samie Fathi E.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-08834-5.pdf

Reference65 articles.

1. Aishwarya N, Bennila Thangammal C (2018) A novel multimodal medical image fusion using sparse representation and modified spatial frequency. Int J Imaging Syst Technol 28:175–185. https://doi.org/10.1002/ima.22268

2. Bhateja V, Patel H, Krishn A et al (2015) Multimodal medical image sensor fusion framework using Cascade of wavelet and Contourlet transform domains. IEEE Sensors J 15:6783–6790. https://doi.org/10.1109/JSEN.2015.2465935

3. Bhateja V, Krishn A, Sahu A (2016) Medical image fusion in Curvelet domain employing PCA and maximum selection rule. In: Proceedings of the Second International Conference on Computer and Communication Technologies. pp 1–9

4. Bhatnagar G, Wu QMJ (2012) An image fusion framework based on human visual system in Framelet domain. Int J wavelets, multiresolution Inf process 10:–1250002. https://doi.org/10.1142/S0219691311004444

5. Bhatnagar G, Wu QMJ, Liu Z (2013) Directive contrast based multimodal medical image fusion in NSCT domain. IEEE Trans Multimed 15:1014–1024. https://doi.org/10.1109/TMM.2013.2244870

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