A model-based image fusion framework using discrete band-limited shearlets. [PDF]
Sci RepJi W, Chen X.
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Local Spatio-Temporal Representation Using the 3D Shearlet Transform (STSIP)
, 2017 In this work we address the problem of analyzing video sequences and of representing meaningful space-time points of interest by using the 3D shearlet transform.
D. Malafronte, F. Odone, E. De Vito
core
A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images. [PDF]
Sci RepSengan S +5 more
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Hyperspectral image classification using non-subsampled shearlet transform
, 2017 : In this paper a new supervised classification method for hyperspectral image is introduced. In the proposed method first, 2D non-subsampled shearlet transform is applied to each spectral band of hyperspectral images.
Soleimanzadeh, Mohammad Reza +1 more
core
Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques. [PDF]
Sci RepVijayalakshmi S +3 more
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UIGen: a hybrid framework for underwater image encryption based on evolutionary chaotic system and multi-domain transformation. [PDF]
Sci RepKhokhar P, Bedi J, Batra S.
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Early Detection of Medical Image Analysis by Using Machine Learning Method.
Comput Math Methods Med, 2022 Khasawneh AM +2 more
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YUV-based SVD-VGG hybrid fusion for multimodal MRI-PET image integration. [PDF]
PLoS OneS S V V Ramesh K, Selva Kumar S.
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Predicting T Cell-Inflamed Gene Expression Profile in Hepatocellular Carcinoma Based on Dynamic Contrast-Enhanced Ultrasound Radiomics. [PDF]
J Hepatocell Carcinoma, 2023 Wang Y +11 more
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A multi-scale pyramid residual weight network for medical image fusion. [PDF]
Quant Imaging Med SurgLiu Y, Zhang S, Tang Y, Zhao X, He ZX.
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