COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm [0.03%]
基于模糊C均值聚类和改进随机游走算法的COVID-19磨玻璃病变分割方法研究
Guowei Wang,Shuli Guo,Lina Han et al.
Guowei Wang et al.
Accurate segmentation of ground-glass opacity (GGO) is an important premise for doctors to judge COVID-19. Aiming at the problem of mis-segmentation for GGO segmentation methods, especially the problem of adhesive GGO connected with chest w...
Designing a new fast solution to control isolation rooms in hospitals depending on artificial intelligence decision [0.03%]
一种新的基于人工智能决策的控制医院隔离病房的快速方案的设计
S Khaled Ahmed,R Mohammed Ali,M Maha Lashin et al.
S Khaled Ahmed et al.
Decreasing the COVID spread of infection among patients at physical isolation hospitals during the coronavirus pandemic was the main aim of all governments in the world. It was required to increase isolation places in the hospital's rules t...
Weakly supervised segmentation of COVID-19 infection with local lesion coherence on CT images [0.03%]
基于CT图像局部病灶一致性的弱监督COVID-19感染区域分割方法
Wanchun Sun,Xin Feng,Jingyao Liu et al.
Wanchun Sun et al.
At the end of 2019, a novel coronavirus, COVID-19, was ravaging the world, wreaking havoc on public health and the global economy. Today, although Reverse Transcription-Polymerase Chain Reaction (RT-PCR) is the gold standard for COVID-19 cl...
Multi-objective T-S fuzzy control of Covid-19 spread model: An LMI approach [0.03%]
基于LMI方法的Covid-19传播模型多目标T-S模糊控制
Reza Najarzadeh,Mohammad Hassan Asemani,Maryam Dehghani et al.
Reza Najarzadeh et al.
Due to the importance of control actions in spreading coronavirus disease, this paper is devoted to first modeling and then proposing an appropriate controller for this model. In the modeling procedure, we used a nonlinear mathematical mode...
Harmonized neonatal brain MR image segmentation model for cross-site datasets [0.03%]
跨数据集新生儿脑MRI图像分割的一致性模型
Jian Chen,Yue Sun,Zhenghan Fang et al.
Jian Chen et al.
Accurate segmentation of white matter, gray matter and cerebrospinal fluid from neonatal brain MR images is of great importance in characterizing early brain development. Deep-learning-based methods have been successfully applied to neonata...
Deep learning-based approach for detecting COVID-19 in chest X-rays [0.03%]
基于深度学习的胸部X光片COVID-19检测方法
M Emin Sahin
M Emin Sahin
Today, 2019 Coronavirus (COVID-19) infections are a major health concern worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis, evaluation, and treatment. Furthermore, expressing diagnostic uncertainty in a repor...
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots [0.03%]
基于CNN快照集成融合的新冠肺炎X射线图像检测方法
Avinandan Banerjee,Arya Sarkar,Sayantan Roy et al.
Avinandan Banerjee et al.
The novel COVID-19 pandemic, has effectively turned out to be one of the deadliest events in modern history, with unprecedented loss of human life, major economic and financial setbacks and has set the entire world back quite a few decades....
A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital [0.03%]
基于智能听诊器的呼吸音信号对新冠肺炎患者病情严重程度评估价值研究：一项队列研究
Nour Kasim,Noa Bachner-Hinenzon,Shay Brikman et al.
Nour Kasim et al.
Objectives: To characterize the frequencies of breathing sounds signals (BS) in COVID-19 patients at peak disease and pre-discharge from hospitalization using a Smart stethoscope. ...
Two-dimensional reciprocal cross entropy multi-threshold combined with improved firefly algorithm for lung parenchyma segmentation of COVID-19 CT image [0.03%]
基于改进的萤火虫算法的二维互反交叉熵多阈值肺实质分割方法用于新冠肺炎CT图像
Guowei Wang,Shuli Guo,Lina Han et al.
Guowei Wang et al.
The lesions of COVID-19 CT image show various kinds of ground-glass opacity and consolidation, which are distributed in left lung, right lung or both lungs. The lung lobes are uneven and it have similar gray value to the surrounding arterie...
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding [0.03%]
基于变分模式分解和局部线性嵌入的COVID-19自动化筛查方法
Liyuan Ma,Xipeng Xu,Changcai Cui et al.
Liyuan Ma et al.
In order to aid imaging physicians to effectively screen chest radiography medical images for presence of Coronavirus Disease 2019 (COVID-19), a novel computer aided diagnosis technology for automatic processing of COVID-19 images is propos...