AIMC Topic: Multiple Pulmonary Nodules

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Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms.

Medicine Jun 11, 2021
The aim of this investigation was to compare the diagnostic performance of radiographers and deep learning algorithms in pulmonary nodule/mass detection on chest radiograph.A test set of 100 chest radiographs containing 53 cases with no pathology (no...
Lung Deep Learning Burnout, Professional Male Middle Aged Humans Taiwan Radiologists Radiography, Thoracic Female Algorithms Sensitivity and Specificity Clinical Competence Multiple Pulmonary Nodules Solitary Pulmonary Nodule
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Integrity of clinical information in radiology reports documenting pulmonary nodules.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
OBJECTIVE: Quantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports and assess impact on making follow-up recommendations.
Humans Retrospective Studies Tomography, X-Ray Computed Aged Male Middle Aged Electronic Health Records Female Natural Language Processing Documentation Radiography, Thoracic Radiology Information Systems Multiple Pulmonary Nodules Solitary Pulmonary Nodule
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Risk-Stratifying Pulmonary Nodules.

American journal of respiratory and critical care medicine Jan 1, 2021
Humans Deep Learning Solitary Pulmonary Nodule Multiple Pulmonary Nodules
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Reply to Wilson: Risk-Stratifying Pulmonary Nodules.

American journal of respiratory and critical care medicine Jan 1, 2021
Deep Learning Multiple Pulmonary Nodules Humans
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Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

American journal of respiratory and critical care medicine Jul 15, 2020
The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays in diagnosis and treatment. Strategies to decrease the rate of unnecessary invasive procedures and optimize surveillance regime...
United States Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer
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Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography.

Current medical imaging reviews Jan 1, 2020
BACKGROUND: Lung cancer has become a major cause of cancer-related deaths. Detection of potentially malignant lung nodules is essential for the early diagnosis and clinical management of lung cancer. In clinical practice, the interpretation of Comput...
Radiographic Image Interpretation, Computer-Assisted Multiple Pulmonary Nodules Humans Tomography, X-Ray Computed Diagnosis, Computer-Assisted Lung Neoplasms Artificial Intelligence
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[Pulmonary nodule detection method based on convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2019
A method was proposed to detect pulmonary nodules in low-dose computed tomography (CT) images by two-dimensional convolutional neural network under the condition of fine image preprocessing. Firstly, CT image preprocessing was carried out by image cl...
Humans Neural Networks, Computer Algorithms Multiple Pulmonary Nodules Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms
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Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.

Journal of digital imaging Dec 1, 2019
Computer-aided diagnosis (CAD) has already been widely used in medical image processing. We recently make another trial to implement convolutional neural network (CNN) on the classification of pulmonary nodules of thoracic CT images. The biggest chal...
Lung Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Multiple Pulmonary Nodules Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Machine Learning Humans Databases, Factual
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[Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy].

Revue medicale suisse Nov 13, 2019
Lung cancer remains the most common cause of cancer deaths in the world, but its mortality can be significantly reduced by diagnosis and early detection. Computerized resources were developed to assist radiologists in their management of the large vo...
Humans Sensitivity and Specificity Lung Neoplasms Multiple Pulmonary Nodules Diagnosis, Computer-Assisted Artificial Intelligence
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[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Jun 20, 2019
BACKGROUND: The detection of pulmonary nodules is a key step to achieving the early diagnosis and therapy of lung cancer. Deep learning based Artificial intelligence (AI) presents as the state of the art in the area of nodule detection, however, a va...
Multiple Pulmonary Nodules Deep Learning Tomography, X-Ray Computed Lung Neoplasms Humans Artificial Intelligence
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