AIMC Topic: Radiography, Thoracic

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Artificial intelligence applications for thoracic imaging.

European journal of radiology Dec 11, 2019
Artificial intelligence is a hot topic in medical imaging. The development of deep learning methods and in particular the use of convolutional neural networks (CNNs), have led to substantial performance gain over the classic machine learning techniqu...
Deep Learning Lung Neoplasms Early Detection of Cancer Radiologists Humans Artificial Intelligence Machine Learning Algorithms Radiography, Thoracic Thorax
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Deep learning: definition and perspectives for thoracic imaging.

European radiology Dec 6, 2019
Relevance and penetration of machine learning in clinical practice is a recent phenomenon with multiple applications being currently under development. Deep learning-and especially convolutional neural networks (CNNs)-is a subset of machine learning,...
Machine Learning Algorithms Deep Learning Radiology Radiography, Thoracic Humans Neural Networks, Computer
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Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.

European radiology Nov 20, 2019
OBJECTIVE: To investigate the feasibility of a deep learning-based detection (DLD) system for multiclass lesions on chest radiograph, in comparison with observers.
Middle Aged Deep Learning ROC Curve Lung Neoplasms Aged Adult Sensitivity and Specificity Male Lung Diseases Lung Diseases, Interstitial Radiography, Thoracic Pneumothorax Pleural Diseases Solitary Pulmonary Nodule Area Under Curve Radiography Pleural Effusion Humans Female
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Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.

Radiology Nov 12, 2019
Background Multicenter studies are required to validate the added benefit of using deep convolutional neural network (DCNN) software for detecting malignant pulmonary nodules on chest radiographs. Purpose To compare the performance of radiologists in...
Sensitivity and Specificity Male Middle Aged Lung Reproducibility of Results Humans Lung Neoplasms Solitary Pulmonary Nodule Aged Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Multiple Pulmonary Nodules Young Adult Radiography, Thoracic Retrospective Studies Adult Female
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Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Radiology Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Deep Learning Clinical Competence Diagnosis, Differential Emergency Service, Hospital Adult Radiography, Thoracic Humans Retrospective Studies Female Sensitivity and Specificity Aged Male Middle Aged
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Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.

Scientific reports Oct 18, 2019
Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted...
Triage Area Under Curve Tuberculosis, Pulmonary Mycobacterium tuberculosis Nepal Retrospective Studies Cameroon Data Accuracy Female DNA, Bacterial Radiography, Thoracic Adult Mass Screening Humans Nucleic Acid Amplification Techniques Sensitivity and Specificity Male Middle Aged Deep Learning
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Deep learning-enabled system for rapid pneumothorax screening on chest CT.

European journal of radiology Sep 26, 2019
PURPOSE: Prompt diagnosis and quantitation of pneumothorax impact decisions pertaining to patient management. The purpose of our study was to develop and evaluate the accuracy of a deep learning (DL)-based image classification program for detection o...
Adult Humans Sensitivity and Specificity Neural Networks, Computer Male Support Vector Machine Deep Learning Tomography, X-Ray Computed Reproducibility of Results Middle Aged Time Radiography, Thoracic Adolescent Female Aged Pneumothorax Child, Preschool Aged, 80 and over Child Young Adult
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Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.

Clinical radiology Sep 11, 2019
AIM: To test the diagnostic performance of a deep learning-based system for the detection of clinically significant pulmonary nodules/masses on chest radiographs.
Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Humans Quality Improvement Radiography, Thoracic Solitary Pulmonary Nodule Taiwan Female Software Sensitivity and Specificity Algorithms Male Retrospective Studies Middle Aged Tomography, X-Ray Computed
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Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Aug 24, 2019
OBJECTIVES: To automatically measure the Cobb angle and diagnose scoliosis on chest X-rays, a computer-aided method was proposed and the reliability and accuracy were evaluated.
Radiographic Image Interpretation, Computer-Assisted Humans Spine Neural Networks, Computer Scoliosis Reproducibility of Results Radiography, Thoracic
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Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.

IEEE journal of biomedical and health informatics Jul 12, 2019
Deep learning techniques have been increasingly used to provide more accurate and more accessible diagnosis of thorax diseases on chest radiographs. However, due to the lack of dense annotation of large-scale chest radiograph data, this computer-aide...
Radiography, Thoracic Humans Neural Networks, Computer Deep Learning Radiographic Image Interpretation, Computer-Assisted
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