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344 Result(s)
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Article
SoccerNet 2023 challenges results
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into t...
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QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution
Quantum neural network (QNN) is a research orientation that combines quantum computing and machine learning. It has the potential to solve the bottleneck problem of shortage of computing resource in deep learn...
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Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Real-world data are long-tailed, the lack of tail samples leads to a significant limitation in the generalization ability of the model. Although numerous approaches of class re-balancing perform well for moder...
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Triboelectric and piezoelectric materials for smart health in human-integrated healthcare systems
This paper presents a comprehensive exploration of the role of smart materials, specifically triboelectric and piezoelectric materials, in the context of human-integrated healthcare systems. The study begins b...
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Open AccessCorrection to: High remnant cholesterol as a risk factor for develo** chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population
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Open AccessHigh remnant cholesterol as a risk factor for develo** chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population
To examine any potential links between remnant cholesterol (RC) and comorbid chronic kidney disease (CKD) in individuals with prediabetes and type 2 diabetes mellitus (T2DM).
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Mediation of mitochondrial DNA copy number and oxidative stress in fluoride-related bone mineral density alteration in Chinese farmers
Excessive fluoride can adversely affect bone mineral density (BMD). Oxidative stress and mitochondrial dysfunction are crucial mechanisms of health damage induced by fluoride. Here, a cross-sectional survey in...
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A novel approach correlating pathologic complete response with digital pathology and radiomics in triple-negative breast cancer
This rapid communication highlights the correlations between digital pathology—whole slide imaging (WSI) and radiomics—magnetic resonance imaging (MRI) features in triple-negative breast cancer (TNBC) patients...
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Open AccessVisual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment
Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). ...
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An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer
Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor burden determinations. We developed and evaluated an automated deep learning (DL)-based framework that segmen...
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Open AccessAdaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network
Facial expression recognition (FER) is still challenging due to the small interclass discrepancy in facial expression data. In view of the significance of facial crucial regions for FER, many existing studies ...
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Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction
Deep learning models have demonstrated great potential in medical imaging but are limited by the expensive, large volume of annotations required. To address this, we compared different active learning strategi...
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Deep convolutional encoder–decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery
Due to the complexity of object information and optical conditions of high-resolution aerial imagery, it is difficult to obtain fine semantic segmentation performance. Although various deep neural network stru...
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Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis
Accurate medical image segmentation can effectively assist disease diagnosis and treatment. While neural networks were often applied to solve the segmentation problem in recent computer-aided diagnosis, the me...
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Investigations of Vibration Energy Harvester Applying the Triangular Structure with a Tunable Resonant Frequency
This paper investigates a vibration energy harvester with a triangular structure for lowfrequency vibrations, focusing on the analysis of nonlinear stiffness and dam** characteristics generated by the struct...
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Open AccessRcMYB8 enhances salt and drought tolerance in rose (Rosa chinensis) by modulating RcPR5/1 and RcP5CS1
Plant Myeloblastosis (MYB) proteins function crucially roles upon variegated abiotic stresses. Nonetheless, their effects and mechanisms in rose (Rosa chinensis) are not fully clarified. In this study, we charact...
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Evidence for the Late Pliocene Aridification in the Eastern Tarim Basin, Northwest China
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Brain Tumor Segmentation for Multi-Modal MRI with Missing Information
Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI s...
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Open AccessMechanical metamaterials and beyond
Mechanical metamaterials enable the creation of structural materials with unprecedented mechanical properties. However, thus far, research on mechanical metamaterials has focused on passive mechanical metamate...
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The value of inflammatory biomarkers in the occurrence and prognosis of sudden sensorineural hearing loss: a meta-analysis
Sudden sensorineural hearing loss (SSNHL) is one of the common emergencies in otorhinolaryngology. Several studies have shown that chronic inflammation is associated with its onset and prognosis. However, the ...