[HTML][HTML] Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
A survey on artificial intelligence in pulmonary imaging
Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …
vision and image recognition creating widespread opportunities of using artificial …
[HTML][HTML] Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients
F Gholamiankhah, S Mostafapour… - Iranian Journal of …, 2022 - ncbi.nlm.nih.gov
Background: Automated image segmentation is an essential step in quantitative image
analysis. This study assesses the performance of a deep learning-based model for lung …
analysis. This study assesses the performance of a deep learning-based model for lung …
[HTML][HTML] A systematic review of automated segmentation methods and public datasets for the lung and its lobes and findings on computed tomography images
Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …
X-Ray based computed tomography (CT) images is a challenging problem with important …
Automated facial expression recognition framework using deep learning
Facial expression is one of the most significant elements which can tell us about the mental
state of any person. A human can convey approximately 55% of information nonverbally and …
state of any person. A human can convey approximately 55% of information nonverbally and …
Structural predictors of lung function decline in young smokers with normal spirometry
Rationale: Chronic obstructive pulmonary disease (COPD) due to tobacco smoking
commonly presents when extensive lung damage has occurred. Objectives: We …
commonly presents when extensive lung damage has occurred. Objectives: We …
Quantitative imaging metrics for the assessment of pulmonary pathophysiology: an official American Thoracic Society and Fleischner Society joint workshop report
Multiple thoracic imaging modalities have been developed to link structure to function in the
diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders …
diagnosis and monitoring of lung disease. Volumetric computed tomography (CT) renders …
[HTML][HTML] An experimental pre-post study on the efficacy of respiratory physiotherapy in severe critically III COVID-19 patients
D Battaglini, S Caiffa, G Gasti, E Ciaravolo… - Journal of clinical …, 2021 - mdpi.com
Background: Respiratory physiotherapy (RPT) is considered essential in patients'
management during intensive care unit (ICU) stay. The role of RPT in critically ill COVID-19 …
management during intensive care unit (ICU) stay. The role of RPT in critically ill COVID-19 …
[HTML][HTML] Using artificial intelligence for automatic segmentation of CT lung images in acute respiratory distress syndrome
Knowledge of gas volume, tissue mass and recruitability measured by the quantitative CT
scan analysis (CT-qa) is important when setting the mechanical ventilation in acute …
scan analysis (CT-qa) is important when setting the mechanical ventilation in acute …
[HTML][HTML] Precise segmentation of COVID-19 infected lung from CT images based on adaptive first-order appearance model with morphological/anatomical constraints
A new segmentation technique is introduced for delineating the lung region in 3D computed
tomography (CT) images. To accurately model the distribution of Hounsfield scale values …
tomography (CT) images. To accurately model the distribution of Hounsfield scale values …