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