A closed-form expression for the relationship between shear modulus from shear wave elastography and tangent modulus from tensile test [0.03%]
剪切波弹性图的剪切模量与拉伸试验中的正切模量之间的关系的封闭形式表达式
Luiz Carlos da Silva Nunes,Liliam Fernandes de Oliveira,Maria Clara Albuquerque Brandão et al.
Luiz Carlos da Silva Nunes et al.
Although shear wave elastography has been increasingly employed for in-vivo studies of the mechanical properties of human tendons, critical questions have emerged regarding the correlation between acoustic measurements and the shear modulus...
Automatically predicting lung tumor invasiveness using deep neural networks [0.03%]
基于深度神经网络的肺癌肿瘤浸润性自动预测模型
Xiuyuan Xu,Nan Chen,Zongxuan Jin et al.
Xiuyuan Xu et al.
Early lung cancer invasive detection is important for further treatment and saving lives. In clinical practice, lung tumor invasiveness (LTI) detection is very challenging, imaging-based automatic prediction algorithms offer a non-invasive ...
Morphological characterization of median nerve and transverse carpal ligament from ultrasound images using convolutional neural networks [0.03%]
基于卷积神经网络的超声图像中正中神经和腕横韧带形态学特征识别
Jocelyn L Hawk,Shalon Walter,Xiaoxiao Sun et al.
Jocelyn L Hawk et al.
Objectives: The purpose of this study was to automatically segment and quantify the median nerve and carpal arch from ultrasound images using convolutional neural network (CNN). ...
A 3D multi-modal multi-scale end-to-end classifier for Alzheimer's disease diagnosis [0.03%]
一种针对阿尔茨海默病诊断的三维多模态多尺度端到端分类器
M Khojaste-Sarakhsi,Seyedhamidreza Shahabi Haghighi,S M T Fatemi Ghomi
M Khojaste-Sarakhsi
This study presents a novel 3D multi-modal multi-scale end-to-end classifier to enhance Alzheimer's Disease (AD) diagnosis by integrating MRI, PET, age, and MMSE cognitive test scores. Leveraging a ResNet-inspired architecture with trainabl...
Computer aided diagnostic model for knee osteoarthritis: A multi-modal feature regression approach [0.03%]
基于多模态特征回归的膝关节骨关节炎计算机辅助诊断模型
Zewen Shi,Fang Yang,Rongyao Yu et al.
Zewen Shi et al.
Background: X-ray imaging is crucial for diagnosing knee osteoarthritis (KOA) in clinical treatment. Computer-assisted diagnostic models reduce the impact of physicians' subjective factors on the accuracy of X-ray diagnos...
A cascade approach for the early detection and localization of myocardial infarction in 2D-echocardiography [0.03%]
一种在二维超声心动图中早期检测和定位心肌梗死的级联方法
Carolina Gomez,Annalisa Letizia,Vincenza Tufano et al.
Carolina Gomez et al.
Myocardial infarction (MI) detection and localization through echocardiography are crucial for effective patient management. However, current diagnostic approaches rely heavily on visual assessment, which can be subjective. In this work we ...
Exploring the neural mechanisms of alpha-band EEG neurofeedback using portable devices: A pre-post comparative study [0.03%]
基于便携设备的alpha频段EEG神经反馈的大脑机制研究：前后比较研究
Xiaoyu Chen,Li Sui
Xiaoyu Chen
Objective: This study aimed to clarify the neural mechanisms of alpha-band neurofeedback (NF) training using a portable EEG system and to evaluate its feasibility for cognitive enhancement in practical settings. ...
Comparative Study
Medical engineering & physics. 2025 Aug:142:104380. DOI:10.1016/j.medengphy.2025.104380 2025
An enhanced UHMWPE wear particle detection approach based on YOLOv9 [0.03%]
基于YOLOv9的增强型UHMWPE磨损颗粒检测方法
Lingmeng Li,Mingzhen Deng,Steven Su et al.
Lingmeng Li et al.
Ultra-high molecular weight polyethylene (UHMWPE) has been widely used in total joint arthroplasty for orthopedic and spinal implants. However, the biological response to UHMWPE wear particles has been identified as a major contributor to i...
Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation [0.03%]
基于U-Net肺结节分割的梯度驱动像素连接性卷积神经网络分类方法
Najeh Ahmed,Asma Ayadi,Imen Hammami
Najeh Ahmed
Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detection is crucial for improving patient outcomes. This study proposes a diagnostic aid system for the early detection and classification of lun...
Intra and inter-system reliability of a markerless motion capture system in different configurations during functional tasks: Implications for utility [0.03%]
一种无标记动作捕捉系统在执行功能任务时的不同配置下的系统内外可靠性：对实用性的启示
Mark W Lenhoff,Silvia Zanini,Gregory Chingas et al.
Mark W Lenhoff et al.
Background: Markerless motion capture is faster than a traditional marker-based method, but its reliability is not well established. The limitations of this new technology must be understood to ensure its appropriate util...