AI-powered ECG analysis shows promise for early COPD detection

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Drones with standard cameras reveal hidden forest layers using AI technology

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
blockchain

Celebrating Geoffrey Hinton: AI Pioneer’s Impact on Deep Learning and Neural Networks

According to Jeff Dean on Twitter, Geoffrey Hinton, often referred to as the 'Godfather of AI,' celebrates his birthday today. Hinton's pioneering research in neural networks and deep learning has ...
GitHub

ResNet-50 Image Classification

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada Introduction: Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, ...
Frontiers

Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...
Scientific Research Publishing

Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) ImageNet Classification with Deep Convolutional Neural Networks. In: Advances in Neural Information Processing Systems ...

ABSTRACT: The research article studies the impact of data augmentation, particularly 60˚ rotation, on the performance of a ResNet convolutional neural network (CNN) for brain tumor detection using MRI ...
IEEE

Using Deep Convolutional Neural Networks for Earthquake and Explosion Classification

Abstract: Accurate classification of seismic events is essential to prevent confusion in catalogs, which can distort seismic statistics and hazard analyses. Monitoring small-scale explosions aids in ...
Scientific Research Publishing

Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2017) Imagenet Classification with Deep Convolutional Neural Networks. Communications of the ACM, 60, 84-90.

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...