Researchers have developed a soft measurement method based on a convolutional long short‑term memory (ConvLSTM) network that ...

Using visual prompts helped improve glaucoma detection by a large language model, according to a poster presentation at the ...

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

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

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

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 ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...

Abstract: This research presents a novel deep learning-based approach to satellite image classification using the RSI-CB256 dataset, which consists of four distinct classes: cloudy, desert, green area ...

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 ...