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 ...

In this first in a series on convolutional neural networks (CNNs), ... An example is the recognition of an object (for example, a cat) in an image. In this case, it doesn’t make a difference if the ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

The table includes neural-network parameters, input resolution, and the associated processing demands for four example models for informational and comparison purposes. These estimations don’t ...