AIMC Journal:
European radiology

Showing 551 to 560 of 646 articles

Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.

European radiology Feb 14, 2020
OBJECTIVES: To investigate whether a deep learning model can predict the bone mineral density (BMD) of lumbar vertebrae from unenhanced abdominal computed tomography (CT) images.
Tomography, X-Ray Computed Female Reproducibility of Results Aged Adult Area Under Curve Male Lumbar Vertebrae Middle Aged Absorptiometry, Photon Deep Learning ROC Curve Humans Abdomen Bone Density Retrospective Studies Osteoporosis
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Assessment of knee pain from MR imaging using a convolutional Siamese network.

European radiology Feb 13, 2020
OBJECTIVES: It remains difficult to characterize the source of pain in knee joints either using radiographs or magnetic resonance imaging (MRI). We sought to determine if advanced machine learning methods such as deep neural networks could distinguis...
Deep Learning Magnetic Resonance Imaging Area Under Curve Radiography Knee Joint Arthralgia Osteoarthritis, Knee Knee Synovitis Female Humans Aged Neural Networks, Computer Male Middle Aged Severity of Illness Index
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Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.

European radiology Feb 13, 2020
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning and to evaluate their prognostic value in patients with non-small-cell lung cancer (NSCLC).
Intra-Abdominal Fat Subcutaneous Fat Whole Body Imaging Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Muscle, Skeletal Positron Emission Tomography Computed Tomography Neoplasm Staging Body Composition Progression-Free Survival Proportional Hazards Models Body Surface Area Adult Survival Rate Male Middle Aged Disease Progression Prognosis Female Reproducibility of Results Aged Humans
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CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate the deep learning models for differentiating invasive pulmonary adenocarcinomas (IACs) among subsolid nodules (SSNs) considered for resection in a retrospective diagnostic cohort in comparison with a size-based logistic model ...
Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Retrospective Studies Radiography, Thoracic Adenocarcinoma of Lung Deep Learning ROC Curve Lung Neoplasms Logistic Models Radiologists
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Assessment of liver fibrosis severity using computed tomography-based liver and spleen volumetric indices in patients with chronic liver disease.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate whether the liver and spleen volumetric indices, measured on portal venous phase CT images, could be used to assess liver fibrosis severity in chronic liver disease.
Humans Retrospective Studies Tomography, X-Ray Computed Liver Chronic Disease Organ Size Liver Diseases Spleen Female Severity of Illness Index Adult Male Middle Aged Case-Control Studies Deep Learning ROC Curve Liver Cirrhosis
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A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.

European radiology Feb 5, 2020
OBJECTIVES: To establish a quantitative MR model that uses clinically relevant features of tumor location and tumor volume to differentiate lower grade glioma (LRGG, grades II and III) and glioblastoma (GBM, grade IV).
Humans Machine Learning Female Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Neoplasm Staging Tumor Burden Adult Brain Neoplasms Male Glioma Support Vector Machine
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Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.

European radiology Feb 5, 2020
OBJECTIVE: To develop a deep learning algorithm that can rule out significant rotator cuff tear based on conventional shoulder radiographs in patients suspected of rotator cuff tear.
Rotator Cuff Injuries Rotator Cuff Male Middle Aged Deep Learning Radiography Radiographic Image Interpretation, Computer-Assisted Humans Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity
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A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.

European radiology Jan 31, 2020
OBJECTIVES: To develop a dual-modal neural network model to characterize ultrasound (US) images of breast masses.
ROC Curve Area Under Curve Radiologists Ultrasonography, Mammary Ultrasonography, Doppler, Color Humans Neural Networks, Computer Retrospective Studies Female Aged Adult Sensitivity and Specificity Breast Neoplasms Middle Aged
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The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.

European radiology Jan 31, 2020
OBJECTIVE: To investigate the effect of image quality of coronary CT angiography (CCTA) on the diagnostic performance of a machine learning-based CT-derived fractional flow reserve (FFR).
Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Aged Machine Learning Male Retrospective Studies Middle Aged Female Coronary Angiography Reproducibility of Results Computed Tomography Angiography
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Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis.

European radiology Jan 21, 2020
OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the information from gray scale and elastogram ultrasound images for accurate liver fibrosis grading.
Elasticity Imaging Techniques Liver Area Under Curve Hepatitis B, Chronic Humans Data Accuracy Neural Networks, Computer Machine Learning Adult Male Algorithms Middle Aged Biomarkers ROC Curve Retrospective Studies Liver Cirrhosis Female Aged
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