Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...

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 ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

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 ...

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 ...

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 ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...