AIMC Topic: Lung

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Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.

IEEE transactions on medical imaging May 8, 2020
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19 pandemic, a system...
Humans Pandemics Image Interpretation, Computer-Assisted Radiography, Thoracic Betacoronavirus Pneumonia, Viral COVID-19 Algorithms SARS-CoV-2 Lung Deep Learning Coronavirus Infections
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COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches.

Computers in biology and medicine May 6, 2020
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes pneumonia in humans. Artificial intelligence models have been helpful for successful analyses in t...
Pneumonia Color Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Betacoronavirus Pneumonia, Viral SARS-CoV-2 Lung Deep Learning Computational Biology Support Vector Machine Fuzzy Logic Humans Artificial Intelligence Pandemics COVID-19 Databases, Factual
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Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.

Cell May 4, 2020
Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid diagnosis and identification of high-risk patients for early intervention are ...
Coronavirus Infections Respiratory Insufficiency Datasets as Topic Pneumonia, Viral Lung China Pilot Projects Cohort Studies Radiologists Models, Biological Humans Artificial Intelligence Pandemics COVID-19 Prognosis Tomography, X-Ray Computed
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.

Computers in biology and medicine Apr 30, 2020
Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in high workload conditions. Although a laboratory test is the current routine di...
Betacoronavirus Pneumonia, Viral Lung Deep Learning Computational Biology Pneumonia Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Aged Aged, 80 and over Adult Artificial Intelligence Male Pandemics Middle Aged COVID-19 Tomography, X-Ray Computed Humans Female Neural Networks, Computer SARS-CoV-2
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Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.

European radiology Apr 29, 2020
OBJECTIVES: To investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs.
Aged Male Middle Aged Lung Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Lung Neoplasms Retrospective Studies Female Solitary Pulmonary Nodule Radiography Radiographic Image Interpretation, Computer-Assisted Precancerous Conditions Radiography, Thoracic
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Automated detection of COVID-19 cases using deep neural networks with X-ray images.

Computers in biology and medicine Apr 28, 2020
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global econom...
Humans Neural Networks, Computer Pandemics COVID-19 Databases, Factual Female SARS-CoV-2 Male Middle Aged Lung Betacoronavirus Diagnosis, Computer-Assisted Pneumonia, Viral Deep Learning Computational Biology Pneumonia Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections
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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Humans Artificial Intelligence Coronavirus Infections Radiography, Thoracic Philadelphia Rhode Island Betacoronavirus Pneumonia, Viral Sensitivity and Specificity Male Middle Aged Infant Lung China Adolescent Child, Preschool Child Infant, Newborn Diagnosis, Differential Pandemics SARS-CoV-2 Pneumonia COVID-19 Aged Radiologists Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Young Adult Female Adult
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Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Apr 27, 2020
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more tr...
Humans Neural Networks, Computer Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Image Interpretation, Computer-Assisted False Negative Reactions False Positive Reactions Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Sensitivity and Specificity Lung Deep Learning Reverse Transcriptase Polymerase Chain Reaction Coronavirus Infections COVID-19 Testing
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Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.

The Lancet. Digital health Apr 21, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the community. Thoracic CT scans are widely used for diagnostic and screening purposes for lung cancer. In this proof-of-concept study, we aimed to evaluate a software pipe...
ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Male Humans Models, Biological Artificial Intelligence Canada Neural Networks, Computer Middle Aged Data Analysis Smoking Mass Screening Risk Assessment Tomography, X-Ray Computed Smokers Area Under Curve Disease Progression Female Ex-Smokers Lung Aged Cohort Studies Pulmonary Disease, Chronic Obstructive
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Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

European radiology Mar 28, 2020
OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance imaging (MRI) in the classification of the pulmonary lesion and identify optimal machine learning methods.
ROC Curve Support Vector Machine Lung Diseases Humans Young Adult Machine Learning Multiparametric Magnetic Resonance Imaging Adult Retrospective Studies Male Female Middle Aged Aged Lung Cohort Studies
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