Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

Image dehazing is a critical area within computational imaging dedicated to restoring image clarity compromised by atmospheric particulates such as fog, haze, and dust. Researchers employ a ...

Flowchart of the proposed algorithm for speeding up the aerial image simulations in computational lithography. By scaling up the input data appropriately, one can apply the fast Fourier transform (FFT ...

Scientists from Duke-NUS Medical School offer recommendations for using FL frameworks in future clinical research, considering both prediction and non-prediction tasks, data variability, and the ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...