AIMC Journal:
European journal of radiology
Showing 251 to 260 of 296 articles
Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.
European journal of radiology
Jul 30, 2020
OBJECTIVE: The study aims to assess the impact of radiomics in the clinical practice of breast ultrasound, to determine which lesions are undetermined by the software, and to discuss the future of the radiologist's role.
The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.
European journal of radiology
Jul 23, 2020
PURPOSE: The purpose of our study is to develop deep convolutional neural network (DCNN) for detecting hip fractures using CT and MRI as a gold standard, and to evaluate the diagnostic performance of 7 readers with and without DCNN.
Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation.
European journal of radiology
Jul 12, 2020
PURPOSE: Aim of this study was to develop and evaluate a software toolkit, which allows for a fully automated body composition analysis in contrast enhanced abdominal computed tomography leveraging the strengths of both, quantitative information from...
Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.
European journal of radiology
Jun 25, 2020
PURPOSE: Adenocarcinoma (ADC) is the most common histological subtype of lung cancers in non-small cell lung cancer (NSCLC) in which ground glass opacifications (GGOs) found on computed tomography (CT) scans are the most common lesions. However, the ...
Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium.
European journal of radiology
Jun 3, 2020
PURPOSE: Coronary artery calcium (CAC) score has shown to be an accurate predictor of future cardiovascular events. Early detection by CAC scoring might reduce the number of deaths by cardiovascular disease (CVD). Automatically excluding scans which ...
Artificial intelligence from A to Z: From neural network to legal framework.
European journal of radiology
May 29, 2020
Artificial intelligence (AI) will continue to cause substantial changes within the field of radiology, and it will become increasingly important for clinicians to be familiar with several concepts behind AI algorithms in order to effectively guide th...
Identification of benign and malignant pulmonary nodules on chest CT using improved 3D U-Net deep learning framework.
European journal of radiology
May 23, 2020
PURPOSE: To accurately distinguish benign from malignant pulmonary nodules with CT based on partial structures of 3D U-Net integrated with Capsule Networks (CapNets) and provide a reference for the early diagnosis of lung cancer.
A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.
European journal of radiology
May 20, 2020
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (DL) model for differentiating high- from low-grade clear cell renal cell carcinoma (ccRCC).
MRI radiomics-based machine-learning classification of bone chondrosarcoma.
European journal of radiology
May 7, 2020
PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI).
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.
European journal of radiology
May 5, 2020
PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images.
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