These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...

Abstract: The feature fusion of optical and Synthetic Aperture Radar (SAR) images is widely used for semantic segmentation of multimodal remote sensing images. It leverages information from two ...

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it's an inevitable by-product of their architecture.

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Abstract: Deep learning has revolutionized computer vision by allowing neural networks to automatically learn features from data. However, the highly nonlinear nature of deep neural networks makes ...