Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking [0.03%]
基于图神经网络的多传感器融合无人飞行器跟踪框架
Karim Dabbabi,Tijeni Delleji
Karim Dabbabi
Unmanned aerial vehicle (UAV) tracking is a critical task in surveillance, security, and autonomous navigation applications. In this study, we propose graph neural network-tracker (GNN-tracker), a novel GNN-based UAV tracking framework that...
Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging [0.03%]
胎盘分割重新定义：基于深度学习的磁共振与超声影像融合综述
Asmaa Jittou,Khalid El Fazazy,Jamal Riffi
Asmaa Jittou
Placental segmentation is critical for the quantitative analysis of prenatal imaging applications. However, segmenting the placenta using magnetic resonance imaging (MRI) and ultrasound is challenging because of variations in fetal position...
Active interaction strategy generation for human-robot collaboration based on trust [0.03%]
基于信任的人机协作中主动交互策略生成方法研究
Yujie Guo,Pengfei Yi,Xiaopeng Wei et al.
Yujie Guo et al.
In human-robot collaborative tasks, human trust in robots can reduce resistance to them, thereby increasing the success rate of task execution. However, most existing studies have focused on improving the success rate of human-robot collabo...
Md Zabirul Islam,Ge Wang
Md Zabirul Islam
Avatars in the educational metaverse are revolutionizing the learning process by providing interactive and effective learning experiences. These avatars enable students to engage in realistic scenarios, work in groups, and develop essential...
Radiographic prediction model based on X-rays predicting anterior cruciate ligament function in patients with knee osteoarthritis [0.03%]
基于X射线的放射学预测模型在膝关节骨关节炎患者中的前交叉韧带功能预测价值
Guanghan Gao,Yaonan Zhang,Lei Shi et al.
Guanghan Gao et al.
Knee osteoarthritis (KOA) is a prevalent chronic condition in the elderly and is often associated with instability caused by anterior cruciate ligament (ACL) degeneration. The functional integrity of ACL is crucial for the diagnosis and tre...
Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data [0.03%]
基于超声图像和数据的智能辅助早期移植物功能障碍诊断技术研究
Yaqing Meng,Mingyang Wang,Ningning Niu et al.
Yaqing Meng et al.
Early allograft dysfunction (EAD) significantly affects liver transplantation prognosis. This study evaluated the effectiveness of artificial intelligence (AI)-assisted methods in accurately diagnosing EAD and identifying its causes. The pr...
Artificial intelligence in retinal image analysis for hypertensive retinopathy diagnosis: a comprehensive review and perspective [0.03%]
人工智能在高血压视网膜病变图像分析中的应用：全面回顾与展望
Rajendra Kankrale,Manesh Kokare
Rajendra Kankrale
Hypertensive retinopathy (HR) occurs when the choroidal vessels, which form the photosensitive layer at the back of the eye, are injured owing to high blood pressure. Artificial intelligence (AI) in retinal image analysis (RIA) for HR diagn...
LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion [0.03%]
LViT-Net：结合局部语义和多特征交叉融合的域泛化行人重识别模型
Xintong Hu,Peishun Liu,Xuefang Wang et al.
Xintong Hu et al.
In the task of domain generalization person re-identification (ReID), pedestrian image features exhibit significant intra-class variability and inter-class similarity. Existing methods rely on a single feature extraction architecture and st...
Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation [0.03%]
基于图的视觉问答和场景图可视化的可解释人工智能
Sebastian Künzel,Tanja Munz-Körner,Pascal Tilli et al.
Sebastian Künzel et al.
This study presents a novel visualization approach to explainable artificial intelligence for graph-based visual question answering (VQA) systems. The method focuses on identifying false answer predictions by the model and offers users the ...
Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports [0.03%]
基于大规模语言模型和变压器的乳腺MRI报告中BI-RADS分类的自助法分析
Yuxin Liu,Xiang Zhang,Weiwei Cao et al.
Yuxin Liu et al.
Breast cancer is one of the most common malignancies among women globally. Magnetic resonance imaging (MRI), as the final non-invasive diagnostic tool before biopsy, provides detailed free-text reports that support clinical decision-making....