AIMC Topic: Radiography, Thoracic
Clear Filters Showing 381 to 390 of 591 articles
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.
European radiology
Jul 14, 2020
OBJECTIVES: To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model's calibration through recalibration procedures.
Humans
Algorithms
Adult
Male
Middle Aged
Lung
Diagnosis, Computer-Assisted
Retrospective Studies
Female
Reproducibility of Results
Aged
Reference Standards
Radiography, Thoracic
Area Under Curve
Bayes Theorem
Pattern Recognition, Automated
Calibration
Deep Learning
ROC Curve
Image Processing, Computer-Assisted
Predictive Value of Tests
Can AI outperform a junior resident? Comparison of deep neural network to first-year radiology residents for identification of pneumothorax.
Emergency radiology
Jul 8, 2020
PURPOSE: To (1) develop a deep learning system (DLS) using a deep convolutional neural network (DCNN) for identification of pneumothorax, (2) compare its performance to first-year radiology residents, and (3) evaluate the ability of a DLS to augment ...
Use of deep learning to detect cardiomegaly on thoracic radiographs in dogs.
Veterinary journal (London, England : 1997)
Jul 7, 2020
The purpose of this study was to develop a computer-aided detection (CAD) device based on convolutional neural networks (CNNs) to detect cardiomegaly from plain radiographs in dogs. Right lateral chest radiographs (n = 1465) were retrospectively sele...
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.
Journal of infection and public health
Jul 1, 2020
This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely...
New machine learning method for image-based diagnosis of COVID-19.
PloS one
Jun 26, 2020
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO) in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 patients by visually analyzing their chest x-ray images. In this paper, a ...
Truncated inception net: COVID-19 outbreak screening using chest X-rays.
Physical and engineering sciences in medicine
Jun 25, 2020
Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is spreading rapidly. AI-driven tools are used to identify Coronavirus outbreaks as wel...
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.
Computer methods and programs in biomedicine
Jun 20, 2020
BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cas...
Betacoronavirus
Pneumonia, Viral
Lung Diseases
Coronavirus Infections
Radiography, Thoracic
X-Rays
Neural Networks, Computer
SARS-CoV-2
Pandemics
Deep Learning
COVID-19
Image Processing, Computer-Assisted
Radiographic Image Interpretation, Computer-Assisted
Algorithms
Reproducibility of Results
Humans
A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network.
Sensors (Basel, Switzerland)
Jun 19, 2020
Pneumonia is a virulent disease that causes the death of millions of people around the world. Every year it kills more children than malaria, AIDS, and measles combined and it accounts for approximately one in five child-deaths worldwide. The inventi...
Efficient GAN-based Chest Radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia.
International journal of medical sciences
Jun 6, 2020
: As 2019 ends coronavirus disease start expanding all over the world. It is highly transmissible disease that can affect respiratory tract and can leads to organ failure. In 2020 it is declared by world health organization as "Public health emergenc...
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Computer methods and programs in biomedicine
Jun 5, 2020
BACKGROUND AND OBJECTIVE: The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives overall. As...
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