Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Segmentation, Feature (linguistics), Pattern recognition (psychology), and Optical coherence tomography.
Text-Guided Semantic Alignment Network With Spatial-Frequency Interaction for Infrared-Visible Image Fusion Under Extreme Illumination
Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images
FIT-Net: Feature Interaction Transformer Network for Pathologic Myopia Diagnosis
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography