Treatment of an Ill-Fitting Complete Dental Prosthesis with Digital Sensor Device: A Case Report [0.03%]
数字化传感器设备在不合适的全口义齿修复中的应用：病例报告
Shilpi Gupta,Ramya Srinivasan,Sanjana Rebecca Tharakan et al.
Shilpi Gupta et al.
Complete edentulism is one of the most common problems encountered by geriatric individuals. With advanced aging, despite attempts made to retain natural dentition, loss of entire teeth is yet observed. For precise denture fabrication, a di...
Collapsed Cone Superposition Algorithm Validation for Chest Wall Tangential Fields using Virtual Wedge Filters [0.03%]
使用虚拟楔形板的胸部侧位野塌锥叠加算法验证研究
Ahad Zeinali,Mikaeil Molazadeh,Samaneh Ganjgahi et al.
Ahad Zeinali et al.
Background: Virtual wedge (VW) is used in radiotherapy to compensate for missing tissues and create a uniform dose distribution in tissues. According to TECDOC-1583 and technical reports series no. 430, evaluating the dos...
Signal Processing Framework for the Detection of Ventricular Ectopic Beat Episodes [0.03%]
室性期前收缩发作的信号处理框架
Avvaru Srinivasulu,Natarajan Sriraam
Avvaru Srinivasulu
The Holter monitor captures the electrocardiogram (ECG) and detects abnormal episodes, but physicians still use manual cross-checking. It takes a considerable time to annotate a long-term ECG record. As a result, research continues to be co...
RR Interval-based Atrial Fibrillation Detection using Traditional and Ensemble Machine Learning Algorithms [0.03%]
基于心电RR间期的传统及集成机器学习算法的房颤检测方法研究
S K Shrikanth Rao,Roshan Joy Martis
S K Shrikanth Rao
Atrial fibrillation (AF) is a life threatening disease and can cause stroke, heart failure, and sometimes death. To reduce the rate of mortality and morbidity due to increased prevalence of AF, early detection of the same becomes a prior co...
Tradeoffs between Radiation Exposure to the Lens of the Eyes and Diagnostic Image Quality in Pediatric Brain Computed Tomography [0.03%]
儿科脑部CT检查中辐射剂量与诊断图像质量之间的权衡：眼晶状体的辐射暴露
Vahid Karami,Mohsen Albosof,Mehrdad Gholami et al.
Vahid Karami et al.
Background: Computed tomography (CT) of the brain is associated with radiation exposure to the lens of the eyes. Therefore, it is necessary to optimize scan settings to keep radiation exposure as low as reasonably achieva...
Nahid Shami,Maryam Atarod,Parvaneh Shokrani et al.
Nahid Shami et al.
Background: This study aimed to optimize efficiency in Monte Carlo (MC) simulation using sensitivity analysis of a beam model. Methods: ...
Automated Camera Lucida Method with Colored Images through Integration of Hardware and Software in Microscopic Zooming [0.03%]
基于软硬件结合的显微缩放彩色图像自动相机 lucida 方法
Fateme Vahabi,Saeed Kermani,Zahra Vahabi et al.
Fateme Vahabi et al.
Automating the camera Lucida method which is a standard way for focusing microscopic images is a very challenging study for many scientists. Hence, actually combining hardware and software to automate microscopic imaging systems is one of t...
Quantitative Analysis of Image Quality in Low-Dose Computed Tomography Imaging for COVID-19 Patients [0.03%]
低剂量CT在新冠肺炎患者肺部影像检查中图像质量的量化分析
Behrooz Ghane,Alireza Karimian,Samaneh Mostafapour et al.
Behrooz Ghane et al.
Background: Computed tomography (CT) scan is one of the main tools to diagnose and grade COVID-19 progression. To avoid the side effects of CT imaging, low-dose CT imaging is of crucial importance to reduce population abs...
Classification of Human Emotional States Based on Valence-Arousal Scale using Electroencephalogram [0.03%]
基于脑电图的人类情绪状态瓦尔伦斯-唤醒尺度分类算法研究
Gs Shashi Kumar,Niranjana Sampathila,Roshan Joy Martis
Gs Shashi Kumar
Recognition of human emotion states for affective computing based on Electroencephalogram (EEG) signal is an active yet challenging domain of research. In this study we propose an emotion recognition framework based on 2-dimensional valence...
Nonlinear Feature Extraction Methods Based on Dual-Tree Complex Wavelet Transform Subimages of Brain Magnetic Resonance Imaging for the Classification of Multiple Diseases [0.03%]
基于双树复小波变换脑磁共振子图的非线性特征提取方法用于多种疾病的分类
Amir Bazdar,Amir Hatamian,Javad Ostadieh et al.
Amir Bazdar et al.
It has been a long time since we use magnetic resonance imaging (MRI) to detect brain diseases and many useful techniques have been developed for this task. However, there is still a potential for further improvement of classification of br...