Fusion of medical images using deep belief networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1007/s10586-019-02999-x.pdf
Reference61 articles.
1. Ouerghi, H., Mourali, O., Zagrouba, E.: Non-subsampled shearlet transform based MRI and PET brain image fusion using simplified pulse coupled neural network and weight local features in YIQ colour space. IET Image Process. 12(10), 1873–1880 (2018)
2. Lee, S.L., Zare, M.R., Muller, H.: Late fusion of deep learning and handcrafted visual features for biomedical image modality classification. IET Image Process. 13(2), 382–391 (2019)
3. Singh, D., Garg, D., Singh, H.: Efficient landsat image fusion using fuzzy and stationary discrete wavelet transform. Imaging Sci. J. 65(2), 108–114 (2017)
4. Singh, D., Kumar, V.: Dehazing of remote sensing images using improved restoration model based dark channel prior. Imaging Sci. J. 65(5), 282–292 (2017)
5. Venkatrao, P.H., Damodar, S.S.: Hwfusion: holoentropy and sp-whale optimisation-based fusion model for magnetic resonance imaging multimodal image fusion. IET Image Process. 12(4), 572–581 (2018)
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