Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Introduction: Nucleus segmentation plays an essential role in digital pathology,particularly in cancer diagnosis and the evaluation of treatment efficacy. Accurate nucleus segmentation provides ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This ...

The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...

This pipeline leverages state-of-the-art computer vision and neural rendering techniques to create accurate 3D models from photogrammetric input. The system is designed for high-quality surface ...

Abstract: The wavelet transform is commonly used as a feature extraction method for brain signal decoding, but extracting this type of feature has a high energy cost as the wavelet transform relies on ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.