A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
Background and objectives Over the past two decades, medical imaging has been
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …
Graph-based semi-supervised learning: A review
Y Chong, Y Ding, Q Yan, S Pan - Neurocomputing, 2020 - Elsevier
Considering the labeled samples may be difficult to obtain because they require human
annotators, special devices, or expensive and slow experiments. Semi-supervised learning …
annotators, special devices, or expensive and slow experiments. Semi-supervised learning …
A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain
Z Zhu, M Zheng, G Qi, D Wang, Y Xiang - Ieee Access, 2019 - ieeexplore.ieee.org
Multi-modality image fusion provides more comprehensive and sophisticated information in
modern medical diagnosis, remote sensing, video surveillance, and so on. This paper …
modern medical diagnosis, remote sensing, video surveillance, and so on. This paper …
Medical image fusion via convolutional sparsity based morphological component analysis
In this letter, a sparse representation (SR) model named convolutional sparsity based
morphological component analysis (CS-MCA) is introduced for pixel-level medical image …
morphological component analysis (CS-MCA) is introduced for pixel-level medical image …
A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion
Image fusion plays a critical role in a variety of vision and learning applications. Current
fusion approaches are designed to characterize source images, focusing on a certain type of …
fusion approaches are designed to characterize source images, focusing on a certain type of …
Image dehazing by an artificial image fusion method based on adaptive structure decomposition
M Zheng, G Qi, Z Zhu, Y Li, H Wei… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in
practice, image dehazing techniques are always used to remove haze from the captured …
practice, image dehazing techniques are always used to remove haze from the captured …
Co-learning feature fusion maps from PET-CT images of lung cancer
The analysis of multi-modality positron emission tomography and computed tomography
(PET-CT) images for computer-aided diagnosis applications (eg, detection and …
(PET-CT) images for computer-aided diagnosis applications (eg, detection and …
Image fusion using hybrid methods in multimodality medical images
An image fusion based on multimodal medical images renders a considerable
enhancement in the quality of fused images. An effective image fusion technique produces …
enhancement in the quality of fused images. An effective image fusion technique produces …
Infrared and visible image fusion via texture conditional generative adversarial network
This paper proposes an effective infrared and visible image fusion method based on a
texture conditional generative adversarial network (TC-GAN). The constructed TC-GAN …
texture conditional generative adversarial network (TC-GAN). The constructed TC-GAN …
Triple adversarial learning and multi-view imaginative reasoning for unsupervised domain adaptation person re-identification
Due to the importance of practical applications, unsupervised domain adaptation (UDA)
person re-identification (re-ID) has attracted increasing attention. However, most of existing …
person re-identification (re-ID) has attracted increasing attention. However, most of existing …