CNN – Page 20 – Communicable Diseases Research

COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

기능 융합 및 딥 러닝을 사용하여 흉부 X선 이미지에서 코로나19 감지

Article

Published on 2021-02-202022-09-12
Journal: Sensors (Basel, Switzerland) [Category] MERS, 진단,

[키워드] Accuracy Algorithm Analysis anisotropic diffusion ANN approach caused chest X-ray Chest X-ray images China CNN Convolutional neural network convolutional neural network (CNN) coronavirus COVID-19 Cross-validation death rate deaths decrease deep deep learning demonstrated detect detection develop Diagnosis diffusion disease feature Fracture fused fusion histogram histogram-oriented gradient (HOG) human body Image impair input learning Novel coronavirus number of deaths obvious symptoms overfitting patient’s death provided reduced Research responsible sensitivity specificity Spread SVM thought was used watershed segmentation Wuhan X-ray X-ray image
[DOI] 10.3390/s21041480 PMC 바로가기 [Article Type] Article

DON: Deep Learning and Optimization-Based Framework for Detection of Novel Coronavirus Disease Using X-ray Images

Comparative Study

Published on 2021-02-152023-06-16
Journal: Interdisciplinary sciences, computational life sci [Category] MERS,

[키워드] CNN coronavirus COVID-19 deep learning J48 MOEPO optimization
[DOI] 10.1007/s12539-021-00418-7 PMC 바로가기 [Article Type] Comparative Study

A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset

Artificial Intelligence

Published on 2021-02-102022-10-29
Journal: PeerJ Computer Science [Category] COVID-19,

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

흉부 엑스레이에 적용된 기계 학습은 COVID-19 진단에 도움이 될 수 있습니다: 이탈리아 롬바르디아의 첫 경험

Original Article

Published on 2021-02-022022-09-12
Journal: European Radiology Experimental [Category] MERS, 진단,

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

Research article

Published on 2021-02-012022-10-05
Journal: Biomedical Signal Processing and Control [Category] 치료기술,

Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN

Research article

Published on 2021-02-012022-10-05
Journal: Applied Soft Computing [Category] 치료기술,

[키워드] Accuracy automated Automatic chest X-ray CNN Community Convolution coronavirus COVID-19 deep learning diagnosis of COVID-19 Experimental result feature Features help knowledge learning medication network Neural outbreak outcome Pneumonia Region Research respond robust unique viral infection while X-ray
[DOI] 10.1016/j.asoc.2020.106744 [Article Type] Research article

Deep learning approaches for COVID-19 detection based on chest X-ray images

Research article

Published on 2021-02-012022-10-05
Journal: Sensors (Basel, Switzerland) [Category] 치료기술,

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT

Article

Published on 2021-01-292022-10-04
Journal: NPJ Digital Medicine [Category] 치료기술,

ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images

Research Article

Published on 2021-01-212023-06-16
Journal: Journal of biomolecular structure & dynamics [Category] MERS, SARS,

[키워드] CNN coronavirus COVID-19 deep learning J48 MOSHO optimization
[DOI] 10.1080/07391102.2021.1875049 PMC 바로가기 [Article Type] Research Article

Investigating and Improving the Accuracy of US Citizens’ Beliefs About the COVID-19 Pandemic: Longitudinal Survey Study

Original Paper

Published on 2021-01-122022-10-30
Journal: Journal of Medical Internet Research [Category] COVID-19,

[키워드] Accuracy age baseline belief belief accuracy boosting CNN conducted Consensus coronavirus correlated COVID-19 COVID-19 pandemic death Final Follow-up Fox Gender IMPROVE Improving infodemic infodemiology information Interpretation Intervention less liberal longitudinal Media use misinformation MOST New Novel coronavirus objective p value pandemic participant Participants peaked political orientation Prevalence question ranged reduce reflected Result retention risk second significantly social distancing survey susceptibility the United State The United States Trust in scientists virus
[DOI] 10.2196/24069 PMC 바로가기 [Article Type] Original Paper