scholarly journals A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis

2017 ◽  
Author(s):  
Ricardo Faria ◽  
Victor Alves ◽  
Filipa Ferraz ◽  
João Neves ◽  
Henrique Vicente ◽  
...  
Keyword(s):  
Image Analysis ◽  
Cardiovascular Diseases ◽  
X Ray ◽  
Base Approach ◽  
Chest X Ray ◽  
Case Base

scholarly journals Chest X-Ray Image Analysis

2018 ◽  
pp. 48-61
Author(s):  
João Neves ◽  
Ricardo Faria ◽  
Victor Alves ◽  
Filipa Ferraz ◽  
Henrique Vicente ◽  
...  
Keyword(s):  
Image Analysis ◽  
X Ray ◽  
Chest X Ray

Chest X-ray Image Analysis and Penehyclidine Hydrochloride Postconditioning Influence of Lung Ischemia Reperfusion Injury

2020 ◽  
Vol 10 (12) ◽  
pp. 2834-2841
Author(s):  
Chunlei Zhang ◽  
Jun Ma
Keyword(s):  
Image Analysis ◽  
Cardiopulmonary Bypass ◽  
Lung Function ◽  
Heart Surgery ◽  
Mapk Pathway ◽  
Medical Image Analysis ◽  
High Dose ◽  
X Ray ◽  
Chest X Ray ◽  
Penehyclidine Hydrochloride

Purpose: We analyze chest X-ray diagnosis results of patients undergoing cardiopulmonary bypass heart surgery in intensive care unit (ICU). In our previous study, we found that penehyclidine hydrochloride (PHC) preconditioning pretects lung function and reduced the apoptosis. Although preconditioning is effective, this clinical treatment is often given only when symptoms appear, when postconditioning is easier to administer. In this study, after confirming the lung condition via medical image analysis, we aimed to look the effect of high-dose penehyclidine hydrochloride postconditioning in lung after I/R in rats, and the apoptosis mechanisms involved. Methods: Chest X-ray was taken in 256 adult patients under cardiopulmonary bypass with heart syurery. Medical image analysis was preliminarily performed, the diagnostic results were analyzed. Rats were subjected to ischemia in left lung 45 min, and then 2 h reperfusion, and treated with PHC. We then observed the effects of PHC on the following: lung function, lung injury, oxidative stress, rate of apoptosis of lung cells, apoptosis-related proteins, and the p38 MAPK pathway. Results: Analysis results of chest X-ray suggest multiple pulmonary complications after cardiopulmonary bypass heart surgery. The laboratory results showed that high-dose penehyclidine hydrochloride postconditioning significantly protected lung function, reduced oxidative stress and apoptosis of the lungs caused by reperfusion, and inhibited activation of the p38 MAPK pathway. Conclusion: Analysis results of chest X-ray show multiple pulmonary complications after cardiopulmonary bypass heart surgery. This study suggests that high-dose penehyclidine hydrochloride can treat lung I/R injury.

scholarly journals Generative domain adaptation for chest X‐ray image analysis

2021 ◽  
Author(s):  
Baocai Yin ◽  
Wenchao Liu ◽  
Zhonghua Fu ◽  
Jing Zhang ◽  
Cong Liu ◽  
...  
Keyword(s):  
Image Analysis ◽  
Domain Adaptation ◽  
X Ray ◽  
Chest X Ray

scholarly journals An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Aijaz Ahmad Reshi ◽  
Furqan Rustam ◽  
Arif Mehmood ◽  
Abdulaziz Alhossan ◽  
Ziyad Alrabiah ◽  
...  
Keyword(s):  
Image Analysis ◽  
Image Classification ◽  
Data Augmentation ◽  
Medical Image Analysis ◽  
Machine Learning Algorithms ◽  
Training Dataset ◽  
Test Scenario ◽  
X Ray ◽  
Proposed Model ◽  
Chest X Ray

Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in particular have attained successful results in medical image analysis and classification. A deep CNN architecture has been proposed in this paper for the diagnosis of COVID-19 based on the chest X-ray image classification. Due to the nonavailability of sufficient-size and good-quality chest X-ray image dataset, an effective and accurate CNN classification was a challenge. To deal with these complexities such as the availability of a very-small-sized and imbalanced dataset with image-quality issues, the dataset has been preprocessed in different phases using different techniques to achieve an effective training dataset for the proposed CNN model to attain its best performance. The preprocessing stages of the datasets performed in this study include dataset balancing, medical experts’ image analysis, and data augmentation. The experimental results have shown the overall accuracy as high as 99.5% which demonstrates the good capability of the proposed CNN model in the current application domain. The CNN model has been tested in two scenarios. In the first scenario, the model has been tested using the 100 X-ray images of the original processed dataset which achieved an accuracy of 100%. In the second scenario, the model has been tested using an independent dataset of COVID-19 X-ray images. The performance in this test scenario was as high as 99.5%. To further prove that the proposed model outperforms other models, a comparative analysis has been done with some of the machine learning algorithms. The proposed model has outperformed all the models generally and specifically when the model testing was done using an independent testing set.

On a general two-sample test with new critical value for multivariate feature selection in chest X-ray image analysis problem

2015 ◽  
Vol 9 ◽  
pp. 7317-7325
Author(s):  
Samir B. Belhaouari ◽  
Hamada R. H. Al-Absi ◽  
Ramil F. Kuleev ◽  
Nasreddine Megrez
Keyword(s):  
Image Analysis ◽  
Feature Selection ◽  
Critical Value ◽  
Analysis Problem ◽  
X Ray ◽  
Sample Test ◽  
Chest X Ray

Model Helps Reduce Chest X-Ray Usage

2005 ◽  
Vol 39 (9) ◽  
pp. 26
Keyword(s):  
X Ray ◽  
Chest X Ray
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