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

Using more than a dozen videos related to the shooting of Alex Pretti, The Times worked to establish what is called ground truth: what happened, how it happened and who might be responsible. By Mark ...

Engineering diagram analysis has emerged as a pivotal discipline within the modern engineering landscape. Deep learning techniques are increasingly utilised to automatically digitise, interpret and ...

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 ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Abstract: Social media is rapidly reflecting mental health issues, hence offering useful yet unstructured data for early detection and intervention. Based on social media material, this paper offers ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Abstract: Recent advancements in deep learning have significantly improved video forensics, crucial for security and law enforcement. This field addresses video tampering detection, source ...