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 ...

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 ...

However, deploying CNN models onto these computational image sensors faces challenges from the limited on-chip memory resources and insufficient image processing throughput. This work proposes a ...