All Stories

  1. Pyramid Vision Transformer-based COVID-19 Detection Using Self-supervised Learning and Pretraining on Chest X-ray Images
  2. An Integrated PneumoNet Model for the Early Detection of Pneumonic Lungs in Chest X-ray Radiographs using Pre-trained Xception, VGG16, and VGG19
  3. FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets
  4. Multimodal Medical Image Fusion Utilizing Two-scale Image Decomposition via Saliency Detection
  5. Coronavirus Disease (COVID-19): Features, Diagnosis, Treatments, and Impacts
  6. Evolution of New Era in Medical Imaging and Healthcare Sector Using Machine Learning Concepts
  7. Image Integration Procedures in Multisensory Medical Images: A Comprehensive Survey of the State-of-the-art Paradigms
  8. NIR-based Sensing System for Non-invasive Detection of Hemoglobin for Point-of-care Applications
  9. A multi‐modality paradigm for CT and MRI fusion with applications of quantum image processing
  10. Image Fusion based on Cross Bilateral and Rolling Guidance Filter through Weight Normalization
  11. From Pyramids to state-of-the-art: A study and Comprehensive Comparison of Visible - Infrared Image Fusion Algorithms
  12. Enhanced vascular and osseous information fusion: disagreement of quantitative and qualitative analysis
  13. Image Denoising: Issues and Challenges
  14. Concealed Weapon Detection using Wavelet, Dual Tree Complex Wavelet Transform and Curvelet Transform
  15. Noise Issues Prevailing in Various Types of Medical Images
  16. An efficient image integration algorithm for night mode vision applications
  17. Current and Future Orientation of Anatomical and Functional Imaging Modality Fusion
  18. Bone vessel image fusion via generalized reisz wavelet transform using averaging fusion rule
  19. Dual Way Residue Noise Thresholding along with feature preservation
  20. From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications
  21. Efficient representation of texture details in medical images by fusion of Ripplet and DDCT transformed images