AIMC Topic: Radiography, Thoracic
Clear Filters Showing 271 to 280 of 591 articles
An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks.
Computational and mathematical methods in medicine
Sep 20, 2021
There have been remarkable changes in our lives and the way we perceive the world with advances in computing technology. Healthcare sector is evolving with the intervention of the latest computer-driven technology and has made a remarkable change in ...
Beyond the : Potential of Deep Learning Image Classification for Chest Radiography.
AJR. American journal of roentgenology
Sep 15, 2021
Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs.
The British journal of radiology
Sep 14, 2021
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early identification of COVID-19 patients at risk of poor prognosis as defined by the need for intensive unit care and mechanical ventilation. We tested the fea...
Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology.
Korean journal of radiology
Sep 13, 2021
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective.
Pediatric radiology
Sep 1, 2021
Artificial intelligence (AI) applications for chest radiography and chest CT are among the most developed applications in radiology. More than 40 certified AI products are available for chest radiography or chest CT. These AI products cover a wide ra...
Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
Radiology
Aug 31, 2021
Background A computer-aided detection (CAD) system may help surveillance for pulmonary metastasis at chest radiography in situations where there is limited access to CT. Purpose To evaluate whether a deep learning (DL)-based CAD system can improve di...
On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays.
Sensors (Basel, Switzerland)
Aug 24, 2021
The global COVID-19 pandemic that started in 2019 and created major disruptions around the world demonstrated the imperative need for quick, inexpensive, accessible and reliable diagnostic methods that would allow the detection of infected individual...
Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection.
Scientific reports
Aug 9, 2021
To speed up the discovery of COVID-19 disease mechanisms by X-ray images, this research developed a new diagnosis platform using a deep convolutional neural network (DCNN) that is able to assist radiologists with diagnosis by distinguishing COVID-19 ...
Validating deep learning inference during chest X-ray classification for COVID-19 screening.
Scientific reports
Aug 9, 2021
The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate several times that of the flu. As the number of infections soared, and capabilities for testing lagged behind, chest X-ray (CXR) imaging became more relevant in the...
Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.
Scientific reports
Aug 4, 2021
We present a method to generate synthetic thorax radiographs with realistic nodules from CT scans, and a perfect ground truth knowledge. We evaluated the detection performance of nine radiologists and two convolutional neural networks in a reader stu...
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