AI Medical Compendium Journal:
Journal of computer assisted tomography

Showing 1 to 10 of 55 articles

The Value of Whole-Volume Radiomics Machine Learning Model Based on Multiparametric MRI in Predicting Triple-Negative Breast Cancer.

Journal of computer assisted tomography Nov 25, 2024
OBJECTIVE: This study aimed to investigate the value of radiomics analysis in the precise diagnosis of triple-negative breast cancer (TNBC) based on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and apparent diffusion coeffici...
Humans Machine Learning Retrospective Studies Female Aged Breast Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging Contrast Media Adult Magnetic Resonance Imaging Radiomics Middle Aged Triple Negative Breast Neoplasms
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Deep Learning Reconstruction for Enhanced Resolution and Image Quality in Breath-Hold MRCP: A Preliminary Study.

Journal of computer assisted tomography Nov 13, 2024
OBJECTIVE: This preliminary study aims to assess the image quality of enhanced-resolution deep learning reconstruction (ER-DLR) in magnetic resonance cholangiopancreatography (MRCP) and compare it with non-ER-DLR MRCP images.
Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Humans Breath Holding Retrospective Studies Cholangiopancreatography, Magnetic Resonance Female Aged Aged, 80 and over Deep Learning Adult Male Biliary Tract Diseases Middle Aged Pancreatic Diseases
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Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom Study.

Journal of computer assisted tomography Nov 5, 2024
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate liver tumor measurements of a computer-aided volumetry (CAD v ) software for filtered back projection (FBP), hybrid-type iterative reconstruction (IR...
Signal-To-Noise Ratio Phantoms, Imaging Liver Neoplasms Liver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Tomography, X-Ray Computed Deep Learning
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Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load.

Journal of computer assisted tomography Oct 10, 2024
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image contrast-boosting algorithm by enhancing the image quality of low-dose computed tomography pulmonary angiography at reduced iodine load.
Humans Algorithms Retrospective Studies Male Middle Aged Deep Learning Iodine Contrast Media Female Aged Aged, 80 and over Adult Radiographic Image Enhancement Pulmonary Artery Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Radiation Dosage Computed Tomography Angiography
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Impact of Emerging Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features.

Journal of computer assisted tomography Aug 22, 2024
OBJECTIVE: This study aims to evaluate, on one MRI vendor's platform, the impact of deep learning (DL)-based reconstruction techniques on MRI radiomic features compared to conventional image reconstruction techniques.
Algorithms Prospective Studies Female Aged Radiomics Male Middle Aged Young Adult Adult Humans Image Processing, Computer-Assisted Abdomen Magnetic Resonance Imaging Deep Learning Adolescent Child, Preschool Child
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Comprehensive Potential of Artificial Intelligence for Predicting PD-L1 Expression and EGFR Mutations in Lung Cancer: A Systematic Review and Meta-Analysis.

Journal of computer assisted tomography Aug 12, 2024
OBJECTIVE: To evaluate the methodological quality and the predictive performance of artificial intelligence (AI) for predicting programmed death ligand 1 (PD-L1) expression and epidermal growth factor receptors (EGFR) mutations in lung cancer (LC) ba...
Biomarkers, Tumor Lung Neoplasms B7-H1 Antigen Mutation ErbB Receptors Humans Artificial Intelligence
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Effect of Deep Learning Image Reconstruction Algorithms on Radiomic Features of Pulmonary Nodules in Ultra-Low-Dose CT.

Journal of computer assisted tomography Aug 2, 2024
OBJECTIVE: The purpose of this study is to explore the impact of deep learning image reconstruction (DLIR) algorithm on the quantification of radiomic features in ultra-low-dose computed tomography (ULD-CT) compared with adaptive statistical iterativ...
Algorithms Deep Learning Retrospective Studies Lung Neoplasms Radiomics Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Multiple Pulmonary Nodules Male Female Radiation Dosage Solitary Pulmonary Nodule Humans Middle Aged Reproducibility of Results Lung Aged Adult
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Image Quality Assessment of a Deep Learning-Based Automatic Bone Removal Algorithm for Cervical CTA.

Journal of computer assisted tomography Jul 30, 2024
BACKGROUND: The present study aims to evaluate the postprocessing image quality of a deep-learning (DL)-based automatic bone removal algorithm in the real clinical practice for cervical computed tomography angiography (CTA).
Carotid Arteries Computed Tomography Angiography Carotid Stenosis Middle Aged Deep Learning Neck Radiographic Image Interpretation, Computer-Assisted Algorithms Retrospective Studies Female Humans Aged Male
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Can Machine Learning Models Based on Computed Tomography Radiomics and Clinical Characteristics Provide Diagnostic Value for Epstein-Barr Virus-Associated Gastric Cancer?

Journal of computer assisted tomography Jun 25, 2024
OBJECTIVE: The aim of this study was to explore whether machine learning model based on computed tomography (CT) radiomics and clinical characteristics can differentiate Epstein-Barr virus-associated gastric cancer (EBVaGC) from non-EBVaGC.
Adult Stomach Neoplasms Radiomics Humans Male Middle Aged Retrospective Studies Machine Learning Epstein-Barr Virus Infections Tomography, X-Ray Computed Herpesvirus 4, Human Female Aged
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Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion Detection.

Journal of computer assisted tomography May 6, 2024
OBJECTIVE: To perform image quality comparison between deep learning-based multiband diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted sequence (accelerated mb-DWI), and conventional multiband diffusion-weighted sequen...
Deep Learning Diffusion Magnetic Resonance Imaging Liver Neoplasms Aged, 80 and over Image Interpretation, Computer-Assisted Humans Image Processing, Computer-Assisted Artifacts Retrospective Studies Adult Liver Female Male Aged Middle Aged
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