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...
Assessing Muscle Fatigue in Multiple Sclerosis using the Sample Entropy of Electromyographic Signals: A Proof of Concept [0.03%]
利用样本熵评估多发性硬化患者的肌肉疲劳：概念验证研究
Marina Gomez-Hernández,Natali Olaya-Mira,Carolina Viloria-Barragán et al.
Marina Gomez-Hernández et al.
Background: Multiple sclerosis (MS) is a progressive and neurodegenerative disease of the central nervous system. Its symptoms vary greatly, which makes its diagnosis complex, expensive, and time-consuming. One of its mos...
Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory [0.03%]
基于曲lettes变换和图论的光学 coherence tomography 图像自动脉络膜分割算法研究
Reza Alizadeh Eghtedar,Mahdad Esmaeili,Alireza Peyman et al.
Reza Alizadeh Eghtedar et al.
Background: Automatic segmentation of the choroid on optical coherence tomography (OCT) images helps ophthalmologists in diagnosing eye pathologies. Compared to manual segmentations, it is faster and is not affected by hu...
Automatic Diagnosis of Stage of COVID-19 Patients using an Ensemble of Transfer Learning with Convolutional Neural Networks Based on Computed Tomography Images [0.03%]
基于计算机断层扫描图像的卷积神经网络迁移学习集成的COVID-19患者分期自动诊断方法
Parisa Gifani,Majid Vafaeezadeh,Mahdi Ghorbani et al.
Parisa Gifani et al.
Background: Diagnosis of the stage of COVID-19 patients using the chest computed tomography (CT) can help the physician in making decisions on the length of time required for hospitalization and adequate selection of pati...
Automatic Diagnosis of COVID-19 Pneumonia using Artificial Intelligence Deep Learning Algorithm Based on Lung Computed Tomography Images [0.03%]
基于人工智能深度学习算法和胸部CT图像的新冠肺炎肺炎自动诊断方法研究
Mohammad Amiri,Manizheh Ranjbar,Gholamreza Fallah Mohammadi
Mohammad Amiri
Background: The lung computed tomography (CT) scan contains valuable information and patterns that provide the possibility of early diagnosis of COVID-19 disease as a global pandemic by the image processing software. In t...
Aptamer-Based Magnetic Nanoprobe for Quantitative Measurement of Chloramphenicol in Milk through Portable Reader [0.03%]
基于适配体的磁性纳米探针通过便携式读取器定量检测牛奶中的氯霉素
Hossein Marofi,Adele Rafati,Pooria Gill
Hossein Marofi
Background: We described here an aptamer-based magnetic nanoprobe for measuring the amount of chloramphenicol (CAP) in milk. Methods: T...
Single-Ended and Differentially Operated Microwave Microfluidic Sensors for Biomedical Applications [0.03%]
单端和差分操作的微波微流体生物医学传感器
Zahra Shaterian
Zahra Shaterian
Background: This research is focused on the design of highly sensitive microfluidic sensors for the applications in liquid dielectric characterizations including biomedical samples. ...
Demarcating Z-line and Gastric Folds Boundary Based on the Segmentation of the Lower Esophageal Sphincter Images [0.03%]
基于下食管括约肌图像分割的Z线和胃皱襞边界的划分方法研究
Rasoul Sharifian,Behzad Nazari,Saeed Sadri et al.
Rasoul Sharifian et al.
Background and objective: The endoscopic diagnosis of pathological changes in the gastroesophageal junction including esophagitis and Barrett's mucosa is based on the visual detection of two boundaries: mucosal color chan...