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 ...

Infant cry classification represents a pivotal advancement in neonatal healthcare, offering objective measures to interpret the varied signals expressed by newborns. Recent developments in deep ...

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 ...

Vice President JD Vance shot back at senators who clashed with Health and Human Services Secretary Robert F. Kennedy Jr. at a hearing before the Senate Finance Committee Thursday, saying they are ...

All WSIs were available at level 0 resolution (×40 magnification, approximately 0.25 μm/pixel), which was used for tile extraction to ensure consistent high-resolution analysis across all samples. We ...

Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...

Abstract: Pattern analysis of wafer maps in semiconductor manufacturing is critical for failure analysis aspects or activities that increase yield. As deep learning becomes more popular than ever, ...