Machine Learning Approaches for Predicting Progression to Alzheimer's Disease in Patients with Mild Cognitive Impairment [0.03%]
用于预测轻度认知障碍患者发展为阿尔茨海默病的机器学习方法
Fatih Gelir,Taymaz Akan,Sait Alp et al.
Fatih Gelir et al.
Purpose: Alzheimer's disease (AD), a neurodegenerative disorder, is a condition that impairs cognition, memory, and behavior. Mild cognitive impairment (MCI), a transitional stage before AD, urgently needs the development...
Preliminary Results: Comparison of Convolutional Neural Network Architectures as an Auxiliary Clinical Tool Applied to Screening Mammography in Mexican Women [0.03%]
初步结果：比较卷积神经网络架构作为辅助临床工具应用于墨西哥女性的乳腺筛查中的应用
Samara Acosta-Jiménez,Susana Aideé González-Chávez,Javier Camarillo-Cisneros et al.
Samara Acosta-Jiménez et al.
Purpose: Mammography is the modality of choice for the early detection of breast cancer. Deep learning, using convolutional neural networks (CNNs) specifically, have achieved extraordinary results in the classification of...
Adel Shaaban,Yi-Chun Du
Adel Shaaban
Purpose: Kretschmann-configuration has been used as a subwavelength framework to detect tiny alterations of the refractive index of biomaterials. However, most of the theoretical assessment of such configuration is us...
Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography [0.03%]
多中心胸部CT冠状病毒病肺炎影像组学、结构化报告和机器学习算法集成的辅助诊断研究
Marcos A D Machado,Ronnyldo R E Silva,Mauro Namias et al.
Marcos A D Machado et al.
Purpose: To evaluate the classification performance of structured report features, radiomics, and machine learning (ML) models to differentiate between Coronavirus Disease 2019 (COVID-19) and other types of pneumonia usin...
Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning [0.03%]
基于新型深度学习的COVID-19肺部CT影像严重程度预测模型
Ahmad Imwafak Alaiad,Esraa Ahmad Mugdadi,Ismail Ibrahim Hmeidi et al.
Ahmad Imwafak Alaiad et al.
Purpose: Coronavirus 2019 (COVID-19) had major social, medical, and economic impacts globally. The study aims to develop a deep-learning model that can predict the severity of COVID-19 in patients based on CT images of th...
Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array [0.03%]
基于双图匹配和卡尔曼滤波跟踪的三维超声定位显微成像技术在VERSONICS公司256通道系统中的应用(采用32×32矩阵换能器)
U-Wai Lok,Chengwu Huang,Joshua D Trzasko et al.
U-Wai Lok et al.
Three-dimensional (3D) ultrasound localization microscopy (ULM) using a 2-D matrix probe and microbubbles (MBs) has been recently proposed to visualize microvasculature beyond the ultrasound diffraction limit in three spatial dimensions. Ho...
Mental Disorder Diagnosis from EEG Signals Employing Automated Leaning Procedures Based on Radial Basis Functions [0.03%]
基于径向基函数的自动学习程序从EEG信号中进行精神障碍诊断
Miguel Ángel Luján,Jorge Mateo Sotos,Ana Torres et al.
Miguel Ángel Luján et al.
Purpose: In this paper, a new automated procedure based on deep learning methods for schizophrenia diagnosis is presented. Methods: To ...
Photoplethysmography-Based Respiratory Rate Estimation Algorithm for Health Monitoring Applications [0.03%]
基于光电容积脉搏波的呼吸率估计算法用于健康监测应用
Talha Iqbal,Adnan Elahi,Sandra Ganly et al.
Talha Iqbal et al.
Purpose: Respiratory rate can provide auxiliary information on the physiological changes within the human body, such as physical and emotional stress. In a clinical setup, the abnormal respiratory rate can be indicative o...
End-to-End Depression Recognition Based on a One-Dimensional Convolution Neural Network Model Using Two-Lead ECG Signal [0.03%]
基于一维卷积神经网络模型的双导联心电图信号端到端抑郁症识别方法研究
Xiaohan Zang,Baimin Li,Lulu Zhao et al.
Xiaohan Zang et al.
Purpose: Depression is a common mental illness worldwide and has become an important public health problem. The current clinical diagnosis of depression mainly relies on the doctor's experience and subjective diagnosis, w...
Observation of Aerosol Generation by Human Subjects During Cardiopulmonary Exercise Testing Using a High-Powered Laser Technique: A Pilot Project [0.03%]
利用高功率激光技术观察受试者在心肺功能检查过程中产生的气溶胶：一项试点研究
Christopher M Varga,Keith J Kwiatkowski,Michael J Pedro et al.
Christopher M Varga et al.
Purpose: Human respiratory aerosols may have important implications for transmission of pathogens. The study of aerosol production during vigorous breathing activities such as exercise is limited. In particular, data on a...