Omnipose, a deep learning software, is helping to solve the challenge of identifying varied miniscule bacteria in microscopy images. It can also identify several other types of tiny objects in ...

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key classification tasks. The VGG16 convolutional neural network (CNN) achieved high ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

LEFT: Deep learning-enabled CCTA showing noncalcified (red) and calcified plaque (yellow). RIGHT: 3D rendering of coronary tree showing deep learning-based plaque segmentation (Photo Credit: Damini ...

One cubic millimetre doesn’t sound like much. But in the human brain, that volume of tissue contains some 50,000 neural ‘wires’ connected by 134 million synapses. Jeff Lichtman wanted to trace them ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

Researchers have developed a new deep learning AI tool that generates life-like birdsongs to train bird identification tools, helping ecologists to monitor rare species in the wild. The findings are ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...