AIMC Topic: Thorax

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Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction.

Physical and engineering sciences in medicine Aug 23, 2022
Pneumonia disease accounts for 15% of all deaths in children under the age of five and early detection of the disease significantly improves survival chances. In this work, we introduce a novel deep neural network model for evaluating pediatric pneum...
Child Pneumonia Neural Networks, Computer Deep Learning Thorax Humans
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An Effective Deep Learning Model for Health Monitoring and Detection of COVID-19 Infected Patients: An End-to-End Solution.

Computational intelligence and neuroscience Aug 11, 2022
The COVID-19 infection is the greatest danger to humankind right now because of the devastation it causes to the lives of its victims. It is important that infected people be tested in a timely manner in order to halt the spread of the disease. Physi...
Mobile Applications Thorax COVID-19 Humans Neural Networks, Computer Deep Learning
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ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays.

IEEE transactions on medical imaging Aug 1, 2022
Image representation is a fundamental task in computer vision. However, most of the existing approaches for image representation ignore the relations between images and consider each input image independently. Intuitively, relations between images ca...
Radiography Thorax X-Rays Neural Networks, Computer
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A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.

Radiation oncology (London, England) Jul 22, 2022
BACKGROUND: We describe and evaluate a deep network algorithm which automatically contours organs at risk in the thorax and pelvis on computed tomography (CT) images for radiation treatment planning.
Humans Algorithms Radiotherapy Planning, Computer-Assisted Thorax Image Processing, Computer-Assisted Tomography, X-Ray Computed Organs at Risk Deep Learning
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Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

European radiology Jul 16, 2022
OBJECTIVE: Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in conjunction with multi-detector CT (MDCT). Moreover, deep learning reco...
Thorax Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Lung Deep Learning Algorithms Tomography, X-Ray Computed Humans
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Detection of Incidental Pulmonary Embolism on Conventional Contrast-Enhanced Chest CT: Comparison of an Artificial Intelligence Algorithm and Clinical Reports.

AJR. American journal of roentgenology Jul 13, 2022
Artificial intelligence (AI) algorithms have shown strong performance for detection of pulmonary embolism (PE) on CT examinations performed using a dedicated protocol for PE detection. AI performance is less well studied for detecting PE on examinat...
Humans Artificial Intelligence Retrospective Studies Male Middle Aged Thorax Aged Tomography, X-Ray Computed Adult Pulmonary Embolism Female
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Non-iterative learning machine for identifying CoViD19 using chest X-ray images.

Scientific reports Jul 13, 2022
CoViD19 is a novel disease which has created panic worldwide by infecting millions of people around the world. The last significant variant of this virus, called as omicron, contributed to majority of cases in the third wave across globe. Though less...
Deep Learning Radiography COVID-19 SARS-CoV-2 Thorax X-Rays Humans Neural Networks, Computer
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Artificial Intelligence Improves Radiologist Performance for Predicting Malignancy at Chest CT.

Radiology May 24, 2022
Multiple Pulmonary Nodules Radiologists Thorax Artificial Intelligence Tomography, X-Ray Computed Humans
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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 Deep Learning Neural Networks, Computer
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Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease.

Medical image analysis May 13, 2022
Training deep learning models that segment an image in one step typically requires a large collection of manually annotated images that captures the anatomical variability in a cohort. This poses challenges when anatomical variability is extreme but ...
Heart Defects, Congenital Image Processing, Computer-Assisted Heart Thorax Humans Neural Networks, Computer
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