Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...

Abstract: Electromagnetic shielding is crucial in magnetic resonance imaging (MRI), particularly at low- and ultralow-magnetic fields. However, the cost of employing physical enclosures for shielding ...

Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.

Apart from the awards, Day 2 at Cannes Lions witnessed creative brainstorming sessions and closed-door business strategy ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

If you are reading this on GitHub, the demo looks like this. Please follow the link below to view the live demo on my blog. Convolutional Neural Networks (CNN), a technique within the broader Deep ...

For further introductions to transfer learning in bearing fault diagnosis, please read our paper. And if you find this repository useful and use it in your works, please cite our paper, thank you~: ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...