Deep learning network selection and optimized information fusion for enhanced COVID‐19 detection
This study proposes a wrapper‐based technique to improve the classification performance
of chest infection (including COVID‐19) detection using X‐rays. Deep features were …
of chest infection (including COVID‐19) detection using X‐rays. Deep features were …
Adaptive single low-light image enhancement by fractional stretching in logarithmic domain
Low-light image enhancement is a challenging task that aims to improve the visibility and
quality of images captured in dark environments. However, existing methods often introduce …
quality of images captured in dark environments. However, existing methods often introduce …
[HTML][HTML] A hybrid LBP-DCNN based feature extraction method in YOLO: An application for masked face and social distance detection
COVID-19 is an ongoing pandemic and the WHO recommends at least one-meter social
distance, and the use of medical face masks to slow the disease's transmission. This paper …
distance, and the use of medical face masks to slow the disease's transmission. This paper …
[HTML][HTML] Fully feature fusion based neural network for COVID-19 lesion segmentation in CT images
W Li, Y Cao, S Wang, B Wan - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) spreads around the world, seriously
affecting people's health. Computed tomography (CT) images contain rich semantic …
affecting people's health. Computed tomography (CT) images contain rich semantic …
COVID-19 医学影像数据集及研究进展.
刘锐， 丁辉， 尚媛园， 邵珠宏… - Journal of Computer …, 2021 - search.ebscohost.com
由于影像学技术在新型冠状病毒肺炎(COVID-19) 的诊断和评估中发挥了重要作用, COVID-19
相关数据集陆续被公布, 但目前针对相关文献中数据集以及研究进展的整理相对较少. 为此 …
相关数据集陆续被公布, 但目前针对相关文献中数据集以及研究进展的整理相对较少. 为此 …
[HTML][HTML] Domain-adaptive artificial intelligence-based model for personalized diagnosis of trivial lesions related to COVID-19 in chest computed tomography scans
M Owais, NR Baek, KR Park - Journal of personalized medicine, 2021 - mdpi.com
Background: Early and accurate detection of COVID-19-related findings (such as well-
aerated regions, ground-glass opacity, crazy paving and linear opacities, and consolidation …
aerated regions, ground-glass opacity, crazy paving and linear opacities, and consolidation …
[PDF][PDF] Explainable machine learning techniques in medical image analysis based on classification with feature extraction
B Dwarakanath, G Shrivastava, R Bansal… - International Journal of …, 2022 - core.ac.uk
Animals are also afflicted by COVID-19, a virus that is quickly spreading and infects both
humans and animals. This fatal viral disease has an impact on people's daily lives, health …
humans and animals. This fatal viral disease has an impact on people's daily lives, health …
COVID-19 contact tracking by group activity trajectory recovery over camera networks
C Wang, XC Wang, Z Wang, WQ Zhu, R Hu - Pattern recognition, 2022 - Elsevier
Contact tracking plays an important role in the epidemiological investigation of COVID-19,
which can effectively reduce the spread of the epidemic. As an excellent alternative method …
which can effectively reduce the spread of the epidemic. As an excellent alternative method …
TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model
Abstract Background As of Feb 27, 2022, coronavirus (COVID-19) has caused 434,888,591
infections and 5,958,849 deaths worldwide, dealing a severe blow to the economies and …
infections and 5,958,849 deaths worldwide, dealing a severe blow to the economies and …
A dual attention-guided 3D convolution network for automatic segmentation of prostate and tumor
Y Li, M Huang, Y Zhang, S Feng, J Chen… - … Signal Processing and …, 2023 - Elsevier
Background In middle-aged and older men, prostate cancer (PCa) is a common tumor
disease with a mortality rate second only to lung cancer. The automatic and accurate …
disease with a mortality rate second only to lung cancer. The automatic and accurate …