Remote sensing images often suffer from color distortion, which can pose significant challenges for accurate data interpretation. To overcome this issue, this study developed a new approach called the ...

Deep-learning (DL)-based techniques are particularly effective at capturing the intricate spectral and spatial patterns of anomalies. This letter proposes a new AD technique called attention-based ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...