AIMC Topic: X-Rays

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Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation.

Computer methods and programs in biomedicine May 10, 2022
BACKGROUND AND OBJECTIVE: Bronchopulmonary dysplasia is a common respiratory disease in premature infants. The severity is diagnosed at the 56th day after birth or discharge by analyzing the clinical indicators, which may cause the delay of the best ...
Humans Tomography, X-Ray Computed Bronchopulmonary Dysplasia Deep Learning Image Processing, Computer-Assisted Infant, Newborn Infant X-Rays Oxygen Infant, Premature
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Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on X-rays.

Computers in biology and medicine May 6, 2022
Cervical vertebral landmark detection is a significant pre-task for vertebral relative motion parameter measurement, which is helpful for doctors to diagnose cervical spine diseases. Accurate cervical vertebral landmark detection could provide reliab...
Cervical Vertebrae X-Rays Neural Networks, Computer Radiography
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Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray images.

Radiological physics and technology May 4, 2022
This study aimed to propose a computerized method for detecting the tooth region for each tooth type as the initial stage in the development of a computer-aided diagnosis (CAD) scheme for dental panoramic X-ray images. Our database consists of 160 pa...
Neural Networks, Computer X-Rays Databases, Factual Tooth Adult Diagnosis, Computer-Assisted Humans
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MHA-CoroCapsule: Multi-Head Attention Routing-Based Capsule Network for COVID-19 Chest X-Ray Image Classification.

IEEE transactions on medical imaging May 2, 2022
The outbreak of COVID-19 threatens the lives and property safety of countless people and brings a tremendous pressure to health care systems worldwide. The principal challenge in the fight against this disease is the lack of efficient detection metho...
Humans Neural Networks, Computer Deep Learning Attention X-Rays COVID-19 SARS-CoV-2
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Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.

PloS one May 2, 2022
Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle changes, sedentary behaviors, or injuries. Spondylolisthesis and scoliosis are two of the most common ailments with an incidence of 5% and 3% in the United ...
Scoliosis X-Rays Deep Learning Humans Child Spondylolisthesis Artificial Intelligence
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Detection of Dental Diseases through X-Ray Images Using Neural Search Architecture Network.

Computational intelligence and neuroscience Apr 30, 2022
An important aspect of the diagnosis procedure in daily clinical practice is the analysis of dental radiographs. This is because the dentist must interpret different types of problems related to teeth, including the tooth numbers and related diseases...
Stomatognathic Diseases Algorithms Radiography, Panoramic Humans Neural Networks, Computer X-Rays
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Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?

BMC medical research methodology Apr 28, 2022
BACKGROUND: The health crisis resulting from the global COVID-19 pandemic highlighted more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of respiratory diseases. To study pulmonary involvement in detail, one of t...
Radiography X-Rays Deep Learning Pneumonia Female Male Pandemics Humans COVID-19
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Study on transfer learning capabilities for pneumonia classification in chest-x-rays images.

Computer methods and programs in biomedicine Apr 22, 2022
BACKGROUND: over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19. In that regard, dee...
Pneumonia X-Rays SARS-CoV-2 Humans Deep Learning COVID-19
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Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.

Sensors (Basel, Switzerland) Apr 20, 2022
Chest radiography is one of the most widely used diagnostic methods in hospitals, but it is difficult to read clearly because several human organ tissues and bones overlap. Therefore, various image processing and rib segmentation methods have been pr...
X-Rays Image Processing, Computer-Assisted Radiography Neural Networks, Computer Ribs Deep Learning Humans
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CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning.

Computers in biology and medicine Apr 15, 2022
BACKGROUND: Automated generation of radiological reports for different imaging modalities is essentially required to smoothen the clinical workflow and alleviate radiologists' workload. It involves the careful amalgamation of image processing techniq...
Image Processing, Computer-Assisted Radiography Thorax X-Rays Deep Learning
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