Projects

IEEE IMAGE PROCESSING DOMAIN PROJECTS

  • CFNet A Cross Fusion Network for Joint Land Cover Classification Using Optical and SAR Images
  • A New Convolutional Neural Network Architecture for Automatic Detection of Brain Tumors in Magnetic Resonance Imaging Images
  • Small Target Detection From Infrared Remote Sensing Images Using Local Adaptive Thresholding
  • Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation Radiosurgery Application
  • Simultaneous Color Restoration and Depth Estimation in Light Field Imaging
  • Dynamic Microwave Imaging of the Cardiovascular System Using UltraWideband RadaronChip Devices
  • HyperspectraI Image Classification With Diverse Region Multiscale Feature Extraction and Spectral Imaging
  • Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processing
  • A single image dehazing method based on decomposition strategy
  • MSFusion Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network
  • AmplitudePhase CNNBased SAR Target Classification via ComplexValued Sparse Image
  • Underwater Image Enhancement Method Based on Dynamic Heterogeneous Feature Fusion Neural Network
  • Remote Sensing Image Dehazing Based on an Attention Convolutional Neural Network
  • A Robust SVM ColorBased Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread
  • BIGPrior Toward Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
  • Integrating Domain Knowledge Into Deep Networks For Lung Ultrasound With Applications To COVID-19
  • Fhi-Unet: Faster Heterogeneous Images Semantic Segmentation Design And Edge AI Implementation For Visible And Thermal Images Processing
  • Breast Cancer Classification From Histopathological Images Using Resolution Adaptive Network
  • Beans Leaf Diseases Classification Using Mobilenet Models
  • Fixcaps An Improved Capsules Network For Diagnosis Of Skin Cancer
  • A Comprehensive Survey On Pest Detection Techniques Using Image Processing