Data originates at the edge, and processing it locally unlocks powerful real-time efficiencies that open very rich product ...
Abstract: Deep learning has been extensively applied in medical image segmentation, providing significant support for disease diagnosis. However, traditional encoder-decoder networks struggle with ...
Abstract: Medical image processing plays an important role for developing strong diagnostic tools and improving healthcare outcomes. Low resolution chest X-rays often present great difficulty to ...
A new study, published at the International Conference on Medical Image Computing and ... Speech and Signal Processing (CVSSP), and Institute for People-Centred AI, said: “We’re used to medical AI ...
This kind of single-use medical equipment was first introduced in high-income countries in the 1960s, thanks to advances in plastic manufacturing and a growing emphasis on infection prevention and ...