Automated lesion segmentation is essential for DR screening, but current deep learning models often lack robustness, ...

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

Abstract: Deep learning models, including convolutional neural networks (CNNs) and transformer-based architectures, have achieved remarkable results in medical image segmentation tasks. However, the ...

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera using Deep Learning for Autonomous Vehicle. KAIST-Radar (K-Radar) (provided by 'AVELab') is a ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...