Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
SWT-PnP-DnCNN: Medical Image Fusion Using Stationary Wavelet Transform and Plug-and-Play Deep Denoising Model
Saved in:
| Published in: | International Journal of Image, Graphics and Signal Processing |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: SWT-PnP-DnCNN: Medical Image Fusion Using Stationary Wavelet Transform and Plug-and-Play Deep Denoising Model
- SWT-PnP-DnCNN: Medical Image Fusion Using Stationary Wavelet Transform and Plug-and-Play Deep Denoising Model
- Comparative Analysis and Ensemble Optimization of CNN Architectures for MRI-Based Brain Tumor Diagnosis
- A Feature-Enhanced Hybrid CNN-BiLSTM Framework for Multi-Label Classification of Pathological High-Frequency Oscillations in Intracranial EEG Signals
- Predicting Fire Heat Release Rate Using Deep Perceptual and Detail‐Aware Hybrid Feature Fusion From Early Smoke Signals
- Methods and Tools for Identifying Human Resource Lesions in Emergency Based on Multimodal Analysis and Deep Learning
- Efficient Road Cracks Segmentation Using Physics Informed Neural Network Approach