[Predicting epileptic seizures based on a multi-convolution fusion network] [0.03%]
基于多卷积融合网络的癫痫发作预测
Xueting Shen,Yan Piao,Huiru Yang et al.
Xueting Shen et al.
Current epilepsy prediction methods are not effective in characterizing the multi-domain features of complex long-term electroencephalogram (EEG) data, leading to suboptimal prediction performance. Therefore, this paper proposes a novel mul...
[A method for emotion transition recognition using cross-modal feature fusion and global perception] [0.03%]
[一种基于跨模态特征融合和全局感知的情绪转换识别方法]
Lilin Jie,Yangmeng Zou,Zhengxiu Li et al.
Lilin Jie et al.
Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotion...
[A head direction cell model based on a spiking neural network with landmark-free calibration] [0.03%]
[一种基于脉冲神经网络的地标无关式头向单元模型]
Naigong Yu,Jingsen Huang,Ke Lin et al.
Naigong Yu et al.
In animal navigation, head direction is encoded by head direction cells within the olfactory-hippocampal structures of the brain. Even in darkness or unfamiliar environments, animals can estimate their head direction by integrating self-mot...
[Study on the electric field transmission characteristics of conducted-electrode tumor treating fields] [0.03%]
[施加电极 TTFields 输导特性研究]
Kaida Liu,Junxia Zhang,Jiaqi Shi et al.
Kaida Liu et al.
Tumor treating fields (TTF) therapy is an innovative tumor treatment modality. Currently, the TTF devices predominantly employ insulated ceramic electrodes as the electric field transmission medium, resulting in low energy transfer efficien...
[Effect of lower limb amputation on hemodynamic environment of the left coronary artery: a numerical study] [0.03%]
下肢截肢对左冠状动脉血流动力学环境影响的数值研究
Tianxiang Tai,Wentao Jiang,Zhongyou Li et al.
Tianxiang Tai et al.
It has been found that the incidence of cardiovascular disease in patients with lower limb amputation is significantly higher than that in normal people, and the risk of developing coronary atherosclerosis is much higher than that in other ...
[Structural design and mechanical analysis of a "drum-shaped" balloon-expandable valve stent in expanded configuration] [0.03%]
一种“鼓形”可膨胀瓣膜血管支架的结构设计及机械性能分析
Youzhi Zhao,Qianwen Hou,Jianye Zhou et al.
Youzhi Zhao et al.
Stent migration is one of the common complications following transcatheter valve implantation. This study aims to design a "drum-shaped" balloon-expandable aortic valve stent to address this issue and conduct a mechanical analysis. The impl...
[Deep overparameterized blood cell detection algorithm utilizing hybrid attention mechanisms] [0.03%]
基于混合注意力机制的深度过参数化血液细胞检测算法
Shuo Zhu,Xukang Zhang,Zongyang Wang et al.
Shuo Zhu et al.
To address the challenges in blood cell recognition caused by diverse morphology, dense distribution, and the abundance of small target information, this paper proposes a blood cell detection algorithm - the "You Only Look Once" model based...
[Endometrial cancer lesion region segmentation based on large kernel convolution and combined attention] [0.03%]
基于大核卷积和融合注意力的子宫内膜癌病灶区域分割方法
Rushu Peng,Qinghao Zeng,Bin He et al.
Rushu Peng et al.
Endometrial cancer (EC) is one of the most common gynecological malignancies, with an increasing incidence rate worldwide. Accurate segmentation of lesion areas in computed tomography (CT) images is a critical step in assisting clinical dia...
[Medical image segmentation method based on self-attention and multi-view attention] [0.03%]
基于自注意力和多视图注意力的医学图像分割方法
Dan Pan,Jin Lyu,An Zeng
Dan Pan
Most current medical image segmentation models are primarily built upon the U-shaped network (U-Net) architecture, which has certain limitations in capturing both global contextual information and fine-grained details. To address this issue...
[A multi-scale feature capturing and spatial position attention model for colorectal polyp image segmentation] [0.03%]
一种多尺度特征采集及空间位置注意力的结肠息肉图像分割模型
Wen Guo,Xiangyang Chen,Jian Wu et al.
Wen Guo et al.
Colorectal polyps are important early markers of colorectal cancer, and their early detection is crucial for cancer prevention. Although existing polyp segmentation models have achieved certain results, they still face challenges such as di...