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Article
Open AccessEnhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences
This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing two key challenges: (1) extracting local spatial feature information f...
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Article
Open AccessEnhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation
Object detection holds a crucial role in medical diagnostics. Tasks like organ segmentation and malignancy diagnosis typically necessitate preliminary localization of corresponding anatomical structures. Preci...
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Article
Dictionary Learning-Based Image Reconstruction for Terahertz Computed Tomography
Terahertz computed tomography (THz CT) demonstrates its advantages in aspects of nonmetallic and nonpolar materials penetration, 3D internal structure visualization, etc. To perform satisfied reconstruction re...
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Article
A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks
Heart disease prevention is one of the most important tasks for healthcare problems since more than 50 million people around the world are at the risk of cardiovascular disease. Traditionally, electrocardiogra...
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Article
Top-Level System Designs for Hybrid Low-Field MRI–CT with Potential of Pulmonary Imaging
We previously discussed “omni-tomography”, but intrinsic conflicts between the magnetic fields of the MRI and the X-ray tube within the CT are inherent. We propose that by using low-field MRI with a negligible...