Researchers developed a retinal image-based system to predict the 5-year risk of diabetic kidney disease and the risk of ...

But the most realistic deepfakes I was able to create did not involve politicians or celebrities. They mostly did not depict ...

The LAKE classification uses axial length, anterior chamber depth, and keratometry to categorize cataractous eyes and improve IOL selection.

New research highlights emerging diagnostic methods that make monkeypox detection faster, more accessible, and more reliable, ...

Abstract: The multi-scale geometric analysis is a great representation tool. It can be used to improve the feature representation and learning process of deep networks. In addition to extracting ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

Deepfakes of Venezuela’s ousted president, Nicolás Maduro, flooded the internet after his capture, in a new collision of breaking news and artificial intelligence. By Stuart A. Thompson and Tiffany ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...