Now, a research team led by Beihang University has unveiled the first high-throughput, non-destructive characterization of these precious materials, revealing that the "soil" on the lunar far side ...

Dry eye disease is a common ocular condition that can significantly impair quality of life, and dysfunction of the meibomian glands is a major contributing factor. Advances in infrared meibography ...

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

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

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 ...

The MIAC Automated Region Segmentation (MARS) for lateral ventricles is a state-of-the-art, deep learning-based segmentation tool. This repository includes ready-to-use, pre-built container image ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Abstract: In recent years, deep learning has been widely utilized in the fields of biomedical image segmentation and cellular image analysis. Supervised deep neural networks trained on annotated data ...