[Automatic measurement of acetabular cup anteversion angle using an accurate recognition technology based on improved Otsu algorithm and feature point] [0.03%]
基于改进Otsu算法和特征点的精确识别技术的髋关节杯前倾角自动测量方法研究
Qian Liu,Yunqing Ma,Bo Wu et al.
Qian Liu et al.
The orientation of the acetabular cup in hip joint anteroposterior radiograph is a key factor in evaluating the postoperative outcomes of total hip arthroplasty (THA). Currently, measurement of the acetabular cup anteversion angle primarily...
[Modeling and finite element analysis of human trabecular meshwork outflow pathways] [0.03%]
[人巩膜静脉压驱动的小梁网房水外流途径的建模与有限元分析]
Shiya Bao,Qing Sun,Si Chen et al.
Shiya Bao et al.
Glaucoma is the leading cause of irreversible blindness worldwide, with its primary risk factor arising from elevated intraocular pressure (IOP) due to an imbalance between aqueous humor production and outflow. This study aims to establish ...
[Cross modal translation of magnetic resonance imaging and computed tomography images based on diffusion generative adversarial networks] [0.03%]
基于扩散生成对抗网络的磁共振和计算机断层扫描图象跨模态翻译
Hong Shao,Yixuan Jing,Wencheng Cui
Hong Shao
To address the issues of difficulty in preserving anatomical structures, low realism of generated images, and loss of high-frequency image information in medical image cross-modal translation, this paper proposes a medical image cross-modal...
[Thyroid nodule segmentation method integrating receiving weighted key-value architecture and spherical geometric features] [0.03%]
融合接收端权重关键值体系结构和球形几何特征的甲状腺结节分割方法
Licheng Zhu,Guohui Wei
Licheng Zhu
To address the high computational complexity of the Transformer in the segmentation of ultrasound thyroid nodules and the loss of image details or omission of key spatial information caused by traditional image sampling techniques when deal...
[Image-aware generative medical visual question answering based on image caption prompts] [0.03%]
基于图像字幕提示的图像感知生成式医疗视觉问答
Rui Wang,Jiana Meng,Yuhai Yu et al.
Rui Wang et al.
Medical visual question answering (MVQA) plays a crucial role in the fields of computer-aided diagnosis and telemedicine. Due to the limited size and uneven annotation quality of the MVQA datasets, most existing methods rely on additional d...
[Application of multi-scale spatiotemporal networks in physiological signal and facial action unit measurement] [0.03%]
[多尺度时空网络在生理信号及面部动作单元测量中的应用研究]
Siyuan Xu,Sunjie Zhang
Siyuan Xu
Multi-task learning (MTL) has demonstrated significant advantages in the field of physiological signal measurement. This approach enhances the model's generalization ability by sharing parameters and features between similar tasks, even in ...
[Fatigue driving detection based on prefrontal electroencephalogram asymptotic hierarchical fusion network] [0.03%]
基于额前脑电的驾驶疲劳渐进分层融合网络检测方法研究
Jiazheng Sun,Weimin Li,Ningling Zhang et al.
Jiazheng Sun et al.
Fatigue driving is one of the leading causes of traffic accidents, posing a significant threat to drivers and road safety. Most existing methods focus on studying whole-brain multi-channel electroencephalogram (EEG) signals, which involve a...
[Effect of music therapy on brain function of autistic children based on power spectrum and sample entropy] [0.03%]
基于功率谱和样本熵的音乐治疗对自闭症儿童脑功能的影响研究
Yunan Zhao,Shixuan Lai,Wei Lyu et al.
Yunan Zhao et al.
This study aims to explore whether Guzheng playing training has a positive impact on the brain functional state of children with Autism Spectrum Disorder (ASD) based on power spectral and sample entropy analyses. Eight ASD participants were...
[Research on bimodal emotion recognition algorithm based on multi-branch bidirectional multi-scale time perception] [0.03%]
基于多分支双向多尺度时间感知的双模情感识别算法研究
Peiyun Xue,Sibin Wang,Jing Bai et al.
Peiyun Xue et al.
Emotion can reflect the psychological and physiological health of human beings, and the main expression of human emotion is voice and facial expression. How to extract and effectively integrate the two modes of emotion information is one of...
[Research on interdisciplinary issues of artificial intelligence medical devices] [0.03%]
人工智能医疗器械交叉学科问题研究
Shu Yan,Yan Lu,Dongzi Xu et al.
Shu Yan et al.
In recent years, the research on artificial intelligence medical devices has risen markedly along with the expanding application scenarios, exhibiting prominent interdisciplinary characteristics. From 2000 to 2024, the variety of research i...