AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Deep Learning Automates Measurement of Spinopelvic Parameters on Lateral Lumbar Radiographs.

Spine Jun 15, 2021
STUDY DESIGN: Cross-sectional database study.
Radiography Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Lumbosacral Region Humans Algorithms Deep Learning
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Artificial intelligence in breast cancer screening: primary care provider preferences.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being proposed for use in medicine, including breast cancer screening (BCS). Little is known, however, about referring primary care providers' (PCPs') preferences for this technology.
Humans Mammography Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Primary Health Care Female Attitude of Health Personnel Physicians, Primary Care United States Sensitivity and Specificity Early Detection of Cancer Attitude to Computers
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Rib fracture detection in computed tomography images using deep convolutional neural networks.

Medicine May 21, 2021
To evaluate the rib fracture detection performance in computed tomography (CT) images using a software based on a deep convolutional neural network (DCNN) and compare it with the rib fracture diagnostic performance of doctors.We included CT images fr...
Humans Tomography, X-Ray Computed Female Aged Aged, 80 and over Software Rib Fractures Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Middle Aged Deep Learning ROC Curve Predictive Value of Tests Young Adult Adult Male
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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Medicine Apr 23, 2021
Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the deep learning-based CAD algorithm (DCAD) for detecting and localizing 3 ma...
Observer Variation Radiography, Thoracic Pneumothorax Area Under Curve Radiographic Image Interpretation, Computer-Assisted Lung Diseases Male Middle Aged Case-Control Studies Lung Neoplasms Thoracic Neoplasms Deep Learning ROC Curve Female Reproducibility of Results Aged Humans
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Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks.

Journal of radiation research Mar 10, 2021
The aim of this study was to develop an automated segmentation approach for small gross tumor volumes (GTVs) in 3D planning computed tomography (CT) images using dense V-networks (DVNs) that offer more advantages in segmenting smaller structures than...
Aged, 80 and over Adult Automation Algorithms Male Humans Tomography, X-Ray Computed Radiosurgery Radiographic Image Interpretation, Computer-Assisted Female Neural Networks, Computer Tumor Burden Aged Middle Aged Lung Neoplasms
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[Noise Reduction Effect of Deep-learning-based Image Reconstruction Algorithms in Thin-section Chest CT].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 1, 2021
OBJECTIVE: To evaluate the noise reduction effect of deep learning-based reconstruction algorithms in thin-section chest CT images by analyzing images reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction (A...
Humans Algorithms Image Processing, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning
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Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?

Investigative radiology Feb 1, 2021
OBJECTIVE: The aim of this study was to compare the performance of 2 approved computer-aided detection (CAD) systems for detection of pulmonary solid nodules (PSNs) in an oncologic cohort. The first CAD system is based on a conventional machine learn...
Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Sensitivity and Specificity Lung Neoplasms Neural Networks, Computer Machine Learning Computers Humans
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[Effect of Automatic Extraction Accuracy by Different Image Reconstruction Methods Using a Three-dimensional Image Analysis System for Pulmonary Segmentectomy Preoperative CT Angiography].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2021
This study aimed to determine the optimal image reconstruction method for preoperative computed tomography (CT) angiography for pulmonary segmentectomy. This study enrolled 20 patients who underwent contrast-enhanced CT examination for pulmonary segm...
Pneumonectomy Deep Learning Humans Computed Tomography Angiography Radiation Dosage Imaging, Three-Dimensional Algorithms Vena Cava, Superior Angiography Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVE: To assess clinical application of applying deep learning image reconstruction (DLIR) algorithm to contrast-enhanced portal venous phase liver computed tomography (CT) for improving image quality and lesions detection rate compared with usi...
Liver Radiographic Image Interpretation, Computer-Assisted Humans Radiation Dosage Tomography, X-Ray Computed Algorithms Deep Learning Image Processing, Computer-Assisted
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A preliminary evaluation study of applying a deep learning image reconstruction algorithm in low-kilovolt scanning of upper abdomen.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVE: To investigate feasibility of applying deep learning image reconstruction (DLIR) algorithm in a low-kilovolt enhanced scan of the upper abdomen.
Humans Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Deep Learning Image Processing, Computer-Assisted
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