AIMC Topic: Solitary Pulmonary Nodule

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Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports.

Chest Jun 4, 2021
BACKGROUND: There is an urgent need for population-based studies on managing patients with pulmonary nodules.
Solitary Pulmonary Nodule Calcinosis Natural Language Processing Lung Lung Neoplasms Multiple Pulmonary Nodules Documentation Radiography, Thoracic Dimensional Measurement Accuracy Radiology Tumor Burden Quality Improvement Humans Algorithms Tomography, X-Ray Computed Sensitivity and Specificity
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Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.

Radiology May 18, 2021
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial for optimizing management in lung cancer screening. Purpose To develop and validate a deep learning (DL) algorithm for malignancy risk estimation of pul...
Humans Retrospective Studies Tomography, X-Ray Computed Mass Screening Multiple Pulmonary Nodules Solitary Pulmonary Nodule Risk Assessment Deep Learning Lung Neoplasms Radiation Dosage
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Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest.

European radiology May 6, 2021
OBJECTIVE: To compare the performance of a deep learning (DL)-based method for diagnosing pulmonary nodules compared with radiologists' diagnostic approach in computed tomography (CT) of the chest.
Multiple Pulmonary Nodules Tomography, X-Ray Computed Humans Solitary Pulmonary Nodule Deep Learning Lung Neoplasms
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High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels.

BMC medical imaging Apr 9, 2021
BACKGROUND: Reidentification of prior nodules for temporal comparison is an important but time-consuming step in lung cancer screening. We develop and evaluate an automated nodule detector that utilizes the axial-slice number of nodules found in radi...
Tumor Burden False Positive Reactions Tomography, X-Ray Computed Female Male Middle Aged Lung Neoplasms Solitary Pulmonary Nodule Humans Neural Networks, Computer Machine Learning
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Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: A retrospective multicentre study.

Lung cancer (Amsterdam, Netherlands) Mar 11, 2021
PURPOSE: To propose a practical strategy for the clinical application of deep learning algorithm, i.e., Hierarchical-Ordered Network-ORiented Strategy (HONORS), and a new approach to pulmonary nodule classification in various clinical scenarios, i.e....
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Tomography, X-Ray Computed Retrospective Studies Deep Learning Lung Neoplasms
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Deep Learning-based Super-Resolution Algorithm: Potential in the Management of Subsolid Nodules.

Radiology Feb 9, 2021
Solitary Pulmonary Nodule Algorithms Deep Learning Lung Neoplasms Humans
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Lung cancer prediction by Deep Learning to identify benign lung nodules.

Lung cancer (Amsterdam, Netherlands) Jan 31, 2021
INTRODUCTION: Deep Learning has been proposed as promising tool to classify malignant nodules. Our aim was to retrospectively validate our Lung Cancer Prediction Convolutional Neural Network (LCP-CNN), which was trained on US screening data, on an in...
Humans Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Artificial Intelligence Netherlands Retrospective Studies Germany Lung
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Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.

European journal of radiology Jan 8, 2021
PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a commercially available deep learning based pulmonary nodule CAD system.
Tomography, X-Ray Computed Sensitivity and Specificity Lung Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Algorithms Radiation Dosage Solitary Pulmonary Nodule Retrospective Studies
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Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems.

BioMed research international Dec 23, 2020
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules. In order to effectively extract the image feature of a pulmonary nodule for the spiculation sign distinguishment, a new spiculation sign recognition ...
Algorithms Solitary Pulmonary Nodule Humans Image Interpretation, Computer-Assisted Lung Neural Networks, Computer Lung Neoplasms
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MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection.

Physics in medicine and biology Dec 5, 2020
Pulmonary nodule false-positive reduction is of great significance for automated nodule detection in clinical diagnosis of low-dose computed tomography (LDCT) lung cancer screening. Due to individual intra-nodule variations and visual similarities be...
Early Detection of Cancer False Positive Reactions Humans Lung Neoplasms Neural Networks, Computer Solitary Pulmonary Nodule Tomography, X-Ray Computed Imaging, Three-Dimensional
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