AIMC Topic: Thorax

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Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.

Sensors (Basel, Switzerland) Jan 11, 2021
This paper explores how well deep learning models trained on chest CT images can diagnose COVID-19 infected people in a fast and automated process. To this end, we adopted advanced deep network architectures and proposed a transfer learning strategy ...
Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Radiographic Image Interpretation, Computer-Assisted Thorax COVID-19 Algorithms Databases, Factual Humans Neural Networks, Computer
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A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19).

Scientific reports Jan 11, 2021
This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19. 95 patients with confirmed COVID-19 and a total of 4...
SARS-CoV-2 Aged Adult Retrospective Studies Tomography, X-Ray Computed Female Deep Learning Thorax Male Middle Aged Lung Humans COVID-19
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Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.

International journal of computer assisted radiology and surgery Jan 9, 2021
PURPOSE: Recently, the outbreak of the novel coronavirus disease 2019 (COVID-19) pandemic has seriously endangered human health and life. In fighting against COVID-19, effective diagnosis of infected patient is critical for preventing the spread of d...
Humans Neural Networks, Computer Tomography, X-Ray Computed Pandemics Radiography, Thoracic Deep Learning COVID-19 Thorax Pneumonia Algorithms
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Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques.

European radiology Jan 7, 2021
OBJECTIVE: To compare the image quality between the vendor-agnostic and vendor-specific algorithms on ultralow-dose chest CT.
Radiation Dosage Humans Thorax Algorithms Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted
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A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images.

Interdisciplinary sciences, computational life sciences Jan 2, 2021
Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and mankind all over the world is vulnerable to this virus. Alternative tools are needed that can help in diagnosis of the coronavirus. Researchers of this article investigated the...
Neural Networks, Computer Machine Learning COVID-19 Humans Logistic Models Databases as Topic Thorax X-Rays Algorithms SARS-CoV-2 Imaging, Three-Dimensional
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Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks.

PloS one Dec 17, 2020
Owing the epidemic of the novel coronavirus disease 2019 (COVID-19), chest X-ray computed tomography imaging is being used for effectively screening COVID-19 patients. The development of computer-aided systems based on deep neural networks (DNNs) has...
SARS-CoV-2 Male Databases, Factual Humans Lung Tomography, X-Ray Computed Neural Networks, Computer Thorax Female COVID-19
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Low-dose CT image and projection dataset.

Medical physics Dec 16, 2020
PURPOSE: To describe a large, publicly available dataset comprising computed tomography (CT) projection data from patient exams, both at routine clinical doses and simulated lower doses.
Tomography Scanners, X-Ray Computed Humans Artificial Intelligence Algorithms Radiation Dosage Thorax Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.

PloS one Dec 15, 2020
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for detecting lung illnesses, including COVID-19. However, the CT scan is expensive a...
SARS-CoV-2 Lung Support Vector Machine Neural Networks, Computer COVID-19 Machine Learning Algorithms Humans Tomography, X-Ray Computed Thorax
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Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

Physical and engineering sciences in medicine Dec 10, 2020
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19. In light...
Neural Networks, Computer COVID-19 Algorithms Male Lung SARS-CoV-2 Aged Humans Databases as Topic Thorax Time Factors X-Rays Mass Screening COVID-19 Testing
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An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images.

PloS one Nov 17, 2020
A newly emerged coronavirus (COVID-19) seriously threatens human life and health worldwide. In coping and fighting against COVID-19, the most critical step is to effectively screen and diagnose infected patients. Among them, chest X-ray imaging techn...
Betacoronavirus Pneumonia, Viral Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Thorax COVID-19 Humans Tomography, X-Ray Computed Pandemics SARS-CoV-2 Deep Learning
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