Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets. This paradigm, largely ...

The detection capability identifies AI-generated images and AI-edited real images, by capturing generation artifacts and semantic inconsistencies invisible to the human eye. Designed for ...

CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.