This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works that processed the input volumes slice-wise or patch-wise, the ...

CNNs are a type of artificial neural network used in deep learning. Such networks are composed of an input layer, several convolutional layers, and an output layer. The convolutional layers are the ...

Machines have come a long way in seeing and understanding images, but they still don’t see quite like humans do. A new ...

Fully convolutional networks (FCNs) are a type of neural network architecture commonly used in computer vision tasks such as image segmentation, object detection and image classification.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.