[Research on automated orthodontic tooth arrangement by integrating multi-source structural information and dental arch prediction] [0.03%]
基于多源结构信息融合和牙弓预测的自动排牙方法研究
Yuhang Fang,Zheng Zhao,Hongbo Zheng et al.
Yuhang Fang et al.
To address the issues of time-consuming manual tooth alignment, reliance on physician experience, and insufficient structural constraints in automated methods in traditional orthodontic treatment planning, this paper proposes an automated t...
[Research on deep learning-based pathological image classification of pilonidal sinus] [0.03%]
基于深度学习的藏毛窦病理性图像分类研究
Qi Wang,Siqi Ben,Xiuyan Li et al.
Qi Wang et al.
Pilonidal sinus disease (PSD) is a suppurative inflammatory condition characterized by a sinus tract in the sacrococcygeal gluteal cleft and surrounding skin. Surgical resection is an important treatment for PSD; however, postoperative recu...
[Research on surgical instrument segmentation algorithm based on frequency-domain adaptive feature decomposition and visual Mamba] [0.03%]
基于频域自适应特征分解和视觉Mamba的手术器械分割算法研究
Zili Tan,Wenxuan He,Yujie Cao et al.
Zili Tan et al.
For the endoscopic surgical instrument segmentation task, existing methods have failed to address the semantic gap caused by the mismatch between high-frequency spatial details and low-frequency semantic features in the U-shaped network (U-...
[Multi-lead electrocardiogram atrial fibrillation detection algorithm based on multi-scale patch-based attention] [0.03%]
基于多尺度补丁注意的多导联心电图房颤检测算法
Xiaojia Wang,Ruidong Yan,Mingxin Zhang et al.
Xiaojia Wang et al.
Aiming at the deficiencies of insufficient cross-domain generalization and poor rhythm sensitivity in atrial fibrillation (AF) detection from multi-lead electrocardiogram (ECG) signals, this paper proposes a novel AF detection algorithm bas...
[A two-stage model for predicting postoperative pulmonary infection in esophageal cancer patients] [0.03%]
[食管癌患者术后肺感染的两阶段预测模型]
Yu Wang,Lixia Yin,Bo Yao et al.
Yu Wang et al.
Postoperative pulmonary infection (PPI) after esophageal cancer surgery occurs frequently and severely impairs patients' prognosis. Most existing prediction models cannot realize staged classification of risk factors, which limits targeted ...
[A generalizable epilepsy detection network based on dual-attention mechanism] [0.03%]
一种基于双注意力机制的通用癫痫检测网络
Lei Zhang,Fengwen Zhai,Jing Jin et al.
Lei Zhang et al.
Existing deep learning models for epileptic electroencephalogram (EEG) signal analysis frequently overlook intrinsic pathological characteristics during feature extraction and exhibit insufficient cross-dataset generalization. To address th...
[Graph convolution-based brain network analysis of visual mismatch negativity in adults with attention-deficit/hyperactivity disorder] [0.03%]
基于图卷积的视觉Mismatch Negativity脑网络在成人注意缺陷多动障碍患者中的作用分析
Min Zheng,Chen Dang,Li Sun et al.
Min Zheng et al.
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Adults with ADHD continue to exhibit deficits in attention and executive function, whereas the neural mechanisms underlying visual mismatch negativity ...
[An electroencephalogram-based emotion recognition method using multi-branch convolutional neural networks and Transformer] [0.03%]
基于多分支卷积神经网络和Transformer的脑电情绪识别方法
Jialin Chen,Dongsheng Liao,Pengli Liu et al.
Jialin Chen et al.
Electroencephalogram (EEG)-based emotion recognition is an important research area in affective computing and mental health assessment. To address the insufficient modeling of long-term dependencies in EEG signals, this paper proposes an EE...
[Finite-element simulation and experimental investigation of nanosecond transcranial pulsed electric field propagation and distribution in a three-dimensional brain model] [0.03%]
纳秒级经颅脉冲电场在三维脑模型中传播及分布的有限元仿真与实验研究
Yue Chen,Chenguo Yao,Fanping Yan et al.
Yue Chen et al.
Nanosecond pulsed electric field (nsPEF) exposure can disrupt and disaggregate amyloid-β, indicating its potential to improve symptoms of Alzheimer's disease. However, the propagation and distribution patterns of nsPEF within brain tissue ...
[An auxiliary diagnosis system for cervical intraepithelial neoplasia based on colposcopic images] [0.03%]
基于阴道镜图像的宫颈上皮内瘤变辅助诊断系统
Xuelian Gu,Yizhu Zhang,Zhiyang Xu et al.
Xuelian Gu et al.
Cervical intraepithelial neoplasia is the primary type of cervical precancerous lesion; however, manual clinical diagnosis is prone to bias and has limited grading accuracy. To achieve precise automated grading of CIN, this paper proposes a...