Abstract: Deep convolutional neural networks (CNNs) have been widely used for fundus image classification and have achieved very impressive performance. However, the explainability of CNNs is poor ...

What are convolutional ... machine learning algorithms in the field of artificial neural networks, including segmentation, object detection and image recognition. That said, CNNs will remain ...

Ten years ago, Geoffrey Hinton and his University of Toronto students published the paper ImageNet Classification with Deep Convolutional Neural ... dubbed the “Forward-Forward” (FF) algorithm. Deep ...

Abstract: Deep convolutional neural network (CNN) shows excellent effectiveness on hyperspectral image (HSI) classification ... to search the optimal architecture based on the genetic algorithm (GA) ...

James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits ... The dummy image is made of a horizontal ...

The motivation of the proposed work stems from our recent research effort to develop a deeper neural network for end-to-end cell segmentation with higher accuracy. We observed that, like conventional ...

With the development of artificial intelligence, the algorithms of convolutional neural network (CNN) progressed rapidly ... The horizontal coordinate represents the recall value, and the vertical ...