Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral similarity with global ...

Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...

AI-based deep learning models can detect interstitial lung disease from lung ultrasound images in patients with systemic ...

There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that, for the first ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...

Researchers have developed TD-MCL, a spiking neural network framework inspired by how infant brains grow and prune synapses. The method enables AI to learn new tasks without forgetting old ones while ...