Deep learning network strips JPEG artifacts from ovarian ultrasound images
A compact residual network called MSERNet removes JPEG compression artifacts from ovarian and carotid ultrasound images while preserving tissue textures ...
Tag: multi-scale feature extraction
New U-Net Variant Combines Hybrid Attention and Dilated Convolution for Brain Tumor Segmentation
A Chinese research team reports a new asymmetric U-Net with hybrid attention and residual dilated convolution that achieved Dice scores ...
Lightweight AI Sees Through Murky Water to Spot Defects in Underground Drainage Pipelines
Researchers at Hohai University have developed ShuffleNet-MSAA, a lightweight AI system that uses adaptive attention and sonar imaging to detect ...
Transforming Infrared-Visible Images with Super-Resolution Fusion
In a groundbreaking study that promises to revolutionize the field of image processing, researchers led by Zhu et al. have ...
