The "Hello World" of image classification is a convolutional neural network (CNN) applied to the MNIST digits dataset. A good way to see where this article is headed is to take a look at the ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Fig. 1: ILSVRC results highlight the significant improvements in accuracy for vision classification introduced by AlexNet, a convolutional neural network. Classification is a building block for more ...

A: The classification workflow. The insets show enlarged views of the contours of the cell region extracted from microscopy images of the parental and resistant (ENX) strains. The corresponding ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

We developed and validated a deep convolutional neural network–based artificial intelligence (AI) model to predict the response of TNBC to NAC. Materials and Methods Whole-slide images (WSIs) of ...

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...

We developed a convolutional deep neural network-based approach named DOcking decoy selection with Voxel-based deep neural nEtwork (DOVE) for evaluating protein docking models. To evaluate a protein ...