Domain Adaptation-Based Deep Learning Model for Forecasting and Diagnosis of Glaucoma Disease [0.03%]
基于领域适应的深度学习模型在青光眼疾病预测和诊断中的应用
Yeganeh Madadi,Hashem Abu-Serhan,Siamak Yousefi
Yeganeh Madadi
The main factor causing irreversible blindness is glaucoma. Early detection greatly reduces the risk of further vision loss. To address this problem, we developed a domain adaptation-based deep learning model called Glaucoma Domain Adaptati...
Annapurna Kala,Eric D McCollum,Mounya Elhilali
Annapurna Kala
Stethoscopes are used ubiquitously in clinical settings to 'listen' to lung sounds. The use of these systems in a variety of healthcare environments (hospitals, urgent care rooms, private offices, community sites, mobile clinics, etc.) pres...
Amir Adler,Mati Wax,Dimitrios Pantazis
Amir Adler
A popular approach for modeling brain activity in MEG and EEG is based on a small set of current dipoles, where each dipole represents the combined activation of a local area of the brain. Here, we address the problem of multiple dipole loc...
Information Based Similarity Analysis of Oxygen Saturation Recordings to Detect Pulmonary Hypertension in Preterm Infants [0.03%]
基于信息的相似性分析以检测早产儿肺动脉高压的氧饱和度记录方法
Pravitha Ramanand,Premananda Indic,Samuel J Gentle et al.
Pravitha Ramanand et al.
Pulmonary hypertension (PH) is a complex cardiovascular condition associated with multiple morbidities and mortality risk in preterm infants. PH often complicates the clinical course of infants who have bronchopulmonary dysplasia (BPD), a m...
A Novel Application of Spectrograms with Machine Learning Can Detect Patient Ventilator Dyssynchrony [0.03%]
新型的频谱图与机器学习结合可以检测病人通气不同步的现象
Ishmael Obeso,Benjamin Yoon,David Ledbetter et al.
Ishmael Obeso et al.
Patients in intensive care units are frequently supported by mechanical ventilation. There is increasing awareness of patient-ventilator dyssynchrony (PVD), a mismatch between patient respiratory effort and assistance provided by the ventil...
Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images [0.03%]
基于增强果蝇优化的多阈值COVID-19 X射线图像分割算法
Shuhui Hao,Changcheng Huang,Ali Asghar Heidari et al.
Shuhui Hao et al.
Since the outbreak of COVID-19, it has seriously endangered the health of human beings. Computer automatic segmentation of COVID-19 X-ray images is an important means to assist doctors in rapid and accurate diagnosis. Therefore, this paper ...
Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19 [0.03%]
优化的DEC：一种使用最优加权特征辅助深度集成分类器的COVID-19咳嗽检测框架
Muhammad Awais,Abhishek Bhuva,Dipen Bhuva et al.
Muhammad Awais et al.
Since the year 2019, the entire world has been facing the most hazardous and contagious disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can be identified and diagnosed. Amongst, cough is the primary syndrom...
Finite-time stability analysis and control of stochastic SIR epidemic model: A study of COVID-19 [0.03%]
随机SIR传染病模型的有限时间稳定分析与控制：以COVID-19为例的研究
Nallappan Gunasekaran,R Vadivel,Guisheng Zhai et al.
Nallappan Gunasekaran et al.
Finite-time stability analysis is a powerful tool for understanding the long-term behavior of epidemiological models and has been widely used to study the spread of infectious diseases such as COVID-19. In this paper, we present a finite-ti...
Automated CT Pancreas Segmentation for Acute Pancreatitis Patients by combining a Novel Object Detection Approach and U-Net [0.03%]
结合新颖的目标检测方法和U-net的急性胰腺炎患者胰腺分割算法
Yang Deng,Lan Lan,Lei You et al.
Yang Deng et al.
Acute pancreatitis is an inflammatory disorder of the pancreas. Medical imaging, such as computed tomography (CT), has been widely used to detect volume changes in the pancreas for acute pancreatitis diagnosis. Many pancreas segmentation me...
Automatic Measuring of Finger Joint Space Width on Hand Radiograph using Deep Learning and Conventional Computer Vision Methods [0.03%]
基于深度学习和传统计算机视觉方法的掌骨X光片手指关节间隙宽度自动测量技术
Raj Ponnusamy,Ming Zhang,Zhiheng Chang et al.
Raj Ponnusamy et al.
Hand osteoarthritis (OA) severity can be assessed visually through radiographs using semi-quantitative grading systems. However, these grading systems are subjective and cannot distinguish minor differences. Joint space width (JSW) compensa...