Revolutionizing Diagnostic PrecisionThe global AI in ultrasound imaging market is poised for impressive growth, projected to expand at a CAGR of around 22% over the next five years. This surge is ...
A team from the Department of Electronics, Information and Bioengineering of the Politecnico di Milano, led by Dr. Andrea ...
Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...
The Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image ...
For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...
A research team developed a 3D deep learning–based panoptic segmentation model that combines semantic and instance ...
Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...
Abstract: Semi-supervised learning offers an appealing solution for remote sensing (RS) image segmentation to relieve the burden of labor-intensive pixel-level labeling. However, RS images pose unique ...
Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...
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