A two-stage deep learning framework for predicting the onset of Atrial fibrillation using RR interval-based embeddings [0.03%]
基于RR间期嵌入的两阶段深度学习框架预测房颤发生
Yongbin Lee,Yeonsik Noh,Allan Walkey et al.
Yongbin Lee et al.
Atrial fibrillation (AF) is the most common form of arrhythmia, significantly increasing the risk of stroke, heart failure, and other cardiovascular complications. Although AF detection methods have achieved accuracies exceeding 98%, AF ons...
Viscoelastic Modeling of Optic Nerve Head Biomechanics: Effects of Intraocular and Cerebrospinal Fluid Pressure [0.03%]
眼内压和脑脊液压力对视神经头流变力学的影响仿真研究
Alireza Karimi,Reza Razaghi,Seyed Mohammadali Rahmati et al.
Alireza Karimi et al.
Although the optic nerve head (ONH) has demonstrated a significant viscoelastic response to changes in intraocular pressure (IOP), existing computational models of ONH biomechanics have yet to fully account for these viscoelastic properties...
Impact of aging on anterior segment morphology and aqueous humor dynamics in human Eyes: Advanced imaging and computational techniques [0.03%]
老龄化对人类眼睛前段形态和房水动力学的影响：高级成像和计算技术
Alireza Karimi,Marie Darche,Ansel Stanik et al.
Alireza Karimi et al.
Objective: Aging results in significant structural and functional changes in the anterior segment of the eye, influencing intraocular pressure (IOP) and overall ocular health. Although aging is a well-established risk fac...
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture [0.03%]
基于轻量级CNN架构特征的极端学习机算法检测包括COVID-19在内的各种肺部疾病
Md Nahiduzzaman,Md Omaer Faruq Goni,Md Robiul Islam et al.
Md Nahiduzzaman et al.
Around the world, several lung diseases such as pneumonia, cardiomegaly, and tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for elderly and medically vulnerable patients. In the last few decades,...
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19 [0.03%]
基于统计方法分析和跳过连接的特征集成深度学习技术的COVID-19检测(SCovNet)
Kiran Kumar Patro,Jaya Prakash Allam,Mohamed Hammad et al.
Kiran Kumar Patro et al.
Background and objective: The global population has been heavily impacted by the COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and new spikes (Delta, Delta Plus, and Omicron) are sti...
Automated malarial retinopathy detection using transfer learning and multi-camera retinal images [0.03%]
使用迁移学习和多摄像头视网膜图像实现自动疟疾性视网膜病检测
Aswathy Rajendra Kurup,Jeff Wigdahl,Jeremy Benson et al.
Aswathy Rajendra Kurup et al.
Cerebral malaria (CM) is a fatal syndrome found commonly in children less than 5 years old in Sub-saharan Africa and Asia. The retinal signs associated with CM are known as malarial retinopathy (MR), and they include highly specific retinal...
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network [0.03%]
用于胸部X光图像的COVID-19检测的Homomorphic变换和VGG激励深度卷积神经网络
Gerosh Shibu George,Pratyush Raj Mishra,Panav Sinha et al.
Gerosh Shibu George et al.
COVID-19 had caused the whole world to come to a standstill. The current detection methods are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to this problem, however, manual examination of CXRs is a cumbersome an...
A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal [0.03%]
基于脑电图信号的癫痫发作预测的机器学习方法研究
Marzieh Savadkoohi,Timothy Oladunni,Lara Thompson
Marzieh Savadkoohi
This study investigates the properties of the brain electrical activity from different recording regions and physiological states for seizure detection. Neurophysiologists will find the work useful in the timely and accurate detection of ep...
Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds [0.03%]
基于分形维度和视觉变换器的可解释COVID-19咳嗽声检测（附Grad-CAM）
Nebras Sobahi,Orhan Atila,Erkan Deniz et al.
Nebras Sobahi et al.
The polymerase chain reaction (PCR) test is not only time-intensive but also a contact method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are more valuable. Cough sound is an important indicator of COV...
COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images [0.03%]
基于CT和X光图像混合数据集的新型冠状病毒肺炎分类模型COVID-RDNet
Lingling Fang,Xin Wang
Lingling Fang
Corona virus disease 2019 (COVID-19) testing relies on traditional screening methods, which require a lot of manpower and material resources. Recently, to effectively reduce the damage caused by radiation and enhance effectiveness, deep lea...