AI Medical Compendium Journal:
Journal of X-ray science and technology

Showing 21 to 30 of 116 articles

Innovations in artificial intelligence for pet/mr imaging: Application and performance analysis.

Journal of X-ray science and technology May 1, 2025
BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and MR components and radiation exposure associated with the PET modality. Artificial intelligence (AI)-based techniques offer a promising approach to ov...
Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Aged Positron-Emission Tomography Adult Fluorodeoxyglucose F18 Male Humans Artificial Intelligence Female
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Research on the effectiveness of multi-view slice correction strategy based on deep learning in high pitch helical CT reconstruction.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Recent studies have explored layered correction strategies, employing a slice-by-slice approach to mitigate the prominent limited-view artifacts present in reconstructed images from high-pitch helical CT scans. However, challenges persist...
Phantoms, Imaging Tomography, Spiral Computed Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Algorithms Artifacts Deep Learning
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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Accurately detecting a variety of lung abnormalities from heterogenous chest X-ray (CXR) images and writing radiology reports is often difficult and time-consuming.
Adolescent Radiologists Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Lung Diseases Female Observer Variation Aged Radiography, Thoracic Male Humans Middle Aged Lung Young Adult Adult Sensitivity and Specificity
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Multiple semantic X-ray medical image retrieval using efficient feature vector extracted by FPN.

Journal of X-ray science and technology Jan 1, 2024
OBJECTIVE: Content-based medical image retrieval (CBMIR) has become an important part of computer-aided diagnostics (CAD) systems. The complex medical semantic information inherent in medical images is the most difficult part to improve the accuracy ...
Semantics X-Rays Image Processing, Computer-Assisted Radiography Information Storage and Retrieval Humans Neural Networks, Computer Algorithms
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Hemi-diaphragm detection of chest X-ray images based on convolutional neural network and graphics.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Chest X-rays (CXR) are widely used to facilitate the diagnosis and treatment of critically ill and emergency patients in clinical practice. Accurate hemi-diaphragm detection based on postero-anterior (P-A) CXR images is crucial for the di...
Humans Radiography, Thoracic Diaphragm Neural Networks, Computer Lung Diseases
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Reference-free calibration method for asynchronous rotation in robotic CT.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Geometry calibration for robotic CT system is necessary for obtaining acceptable images under the asynchrony of two manipulators.
Humans Algorithms Computer Simulation Rotation Calibration Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Robotics
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FDB-Net: Fusion double branch network combining CNN and transformer for medical image segmentation.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: The rapid development of deep learning techniques has greatly improved the performance of medical image segmentation, and medical image segmentation networks based on convolutional neural networks and Transformer have been widely used in ...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders.
Humans Neural Networks, Computer Machine Learning Adult Male Deep Learning Schizophrenia Brain Female Young Adult Connectome Diffusion Magnetic Resonance Imaging
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DKCNN: Improving deep kernel convolutional neural network-based COVID-19 identification from CT images of the chest.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: An efficient deep convolutional neural network (DeepCNN) is proposed in this article for the classification of Covid-19 disease.
Coronavirus Infections Thorax Deep Learning Image Processing, Computer-Assisted Betacoronavirus Pneumonia, Viral Humans Neural Networks, Computer Pandemics COVID-19 Algorithms Tomography, X-Ray Computed SARS-CoV-2
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A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images.

Journal of X-ray science and technology Jan 1, 2024
Retinal disorders pose a serious threat to world healthcare because they frequently result in visual loss or impairment. For retinal disorders to be diagnosed precisely, treated individually, and detected early, deep learning is a necessary subset of...
Neural Networks, Computer Algorithms Reproducibility of Results Humans Retina Image Interpretation, Computer-Assisted Retinal Diseases Game Theory Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence
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