Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% ...
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates ...
This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
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 ...
GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
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 ...
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 ...