AIMC Topic: X-Rays

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Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks.

Computational intelligence and neuroscience Jun 16, 2022
COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a possibility that the virus will evolve and become more contagious. If such a situation occurs, the resulting calamity will be worse than in the past if...
Deep Learning X-Rays Humans COVID-19 Neural Networks, Computer SARS-CoV-2
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Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images.

Computers in biology and medicine Jun 15, 2022
Lung infections caused by bacteria and viruses are infectious and require timely screening and isolation, and different types of pneumonia require different treatment plans. Therefore, finding a rapid and accurate screening method for lung infections...
Pneumonia, Viral Deep Learning X-Rays COVID-19 SARS-CoV-2 Humans
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Unsupervised Cross-Modality Domain Adaptation Network for X-Ray to CT Registration.

IEEE journal of biomedical and health informatics Jun 3, 2022
2D/3D registration that achieves high accuracy and real-time computation is one of the enabling technologies for radiotherapy and image-guided surgeries. Recently, the Convolutional Neural Network (CNN) has been explored to significantly improve the ...
Humans Image Processing, Computer-Assisted Radiography X-Rays Neural Networks, Computer Tomography, X-Ray Computed
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Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology May 26, 2022
INTRODUCTION AND OBJECTIVES: Although automatic artificial intelligence (AI) coronary angiography (CAG) segmentation is arguably the first step toward future clinical application, it is underexplored. We aimed to (1) develop AI models for CAG segment...
Coronary Angiography Retrospective Studies X-Rays Tomography, X-Ray Computed Deep Learning Humans Artificial Intelligence
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Resolving complex cartilage structures in developmental biology via deep learning-based automatic segmentation of X-ray computed microtomography images.

Scientific reports May 24, 2022
The complex shape of embryonic cartilage represents a true challenge for phenotyping and basic understanding of skeletal development. X-ray computed microtomography (μCT) enables inspecting relevant tissues in all three dimensions; however, most 3D m...
Image Processing, Computer-Assisted Mice Cartilage X-Rays Developmental Biology Animals Deep Learning Neural Networks, Computer
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Reliable quality assurance of X-ray mammography scanner by evaluation the standard mammography phantom image using an interpretable deep learning model.

European journal of radiology May 23, 2022
OBJECTIVE: Mammography is the initial examination to detect breast cancer symptoms, and quality control of mammography devices is crucial to maintain accurate diagnosis and to safeguard against degradation of performance. The objective of this study ...
Reproducibility of Results Breast Neoplasms Mammography Phantoms, Imaging Deep Learning Humans Female X-Rays
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Multiclass Classification of Chest X-Ray Images for the Prediction of COVID-19 Using Capsule Network.

Computational intelligence and neuroscience May 19, 2022
It is critical to establish a reliable method for detecting people infected with COVID-19 since the pandemic has numerous harmful consequences worldwide. If the patient is infected with COVID-19, a chest X-ray can be used to determine this. In this w...
Thorax X-Rays Humans COVID-19 Neural Networks, Computer Deep Learning
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Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases May 18, 2022
BACKGROUND: Few evaluations of computer-aided detection (CAD) software for analyzing chest radiographs for tuberculosis have used mycobacterial culture as the reference standard.
X-Rays Sensitivity and Specificity Deep Learning Tuberculosis, Pulmonary Mycobacterium tuberculosis Tuberculosis Prospective Studies Adult Humans Software
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End-to-end deep learning for interior tomography with low-dose x-ray CT.

Physics in medicine and biology May 16, 2022
There are several x-ray computed tomography (CT) scanning strategies used to reduce radiation dose, such as (1) sparse-view CT, (2) low-dose CT and (3) region-of-interest (ROI) CT (called interior tomography). To further reduce the dose, sparse-view ...
Humans Artifacts X-Rays Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed
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A lightweight CNN-based network on COVID-19 detection using X-ray and CT images.

Computers in biology and medicine May 11, 2022
BACKGROUND AND OBJECTIVES: The traditional method of detecting COVID-19 disease mainly rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or professional researchers to identify whether it is COVID-19 disease, w...
COVID-19 Computers Humans Deep Learning X-Rays Tomography, X-Ray Computed SARS-CoV-2
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