AIMC Topic: Solitary Pulmonary Nodule

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A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.

International journal of computer assisted radiology and surgery Nov 25, 2019
PURPOSE: Diagnosis of lung cancer requires radiologists to review every lung nodule in CT images. Such a process can be very time-consuming, and the accuracy is affected by many factors, such as experience of radiologists and available diagnosis time...
Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning 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.
Humans Female Aged Adult Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Area Under Curve Radiography Pleural Effusion Male Middle Aged Deep Learning ROC Curve Pleural Diseases Lung Diseases Lung Diseases, Interstitial Radiography, Thoracic Pneumothorax
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Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.

International journal of computer assisted radiology and surgery Nov 16, 2019
PURPOSE: Early detection and treatment of lung cancer holds great importance. However, pulmonary-nodule classification using CT images alone is difficult to realize. To address this concern, a method for pulmonary-nodule classification based on a dee...
Reproducibility of Results Lung Neoplasms Solitary Pulmonary Nodule Humans Early Detection of Cancer Neural Networks, Computer Tomography, X-Ray Computed
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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...
Male Middle Aged Lung Lung Neoplasms Multiple Pulmonary Nodules Aged Retrospective Studies Young Adult Female Solitary Pulmonary Nodule Adult Reproducibility of Results Humans Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Neural Networks, Computer Radiography, Thoracic
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Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline.

Computer methods and programs in biomedicine Nov 2, 2019
The early identification of malignant pulmonary nodules is critical for a better lung cancer prognosis and less invasive chemo or radio therapies. Nodule malignancy assessment done by radiologists is extremely useful for planning a preventive interve...
Neural Networks, Computer Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Datasets as Topic Humans
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MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection.

IEEE journal of biomedical and health informatics Oct 15, 2019
With the development of deep learning methods such as convolutional neural network (CNN), the accuracy of automated pulmonary nodule detection has been greatly improved. However, the high computational and storage costs of the large-scale network hav...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Decision Trees Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Diagnostic Errors Deep Learning
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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.
Retrospective Studies Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Female Quality Improvement Deep Learning Sensitivity and Specificity Lung Neoplasms Radiography, Thoracic Software Male Multiple Pulmonary Nodules Algorithms Solitary Pulmonary Nodule Middle Aged Taiwan Radiographic Image Interpretation, Computer-Assisted
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Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.

European radiology Sep 4, 2019
OBJECTIVE: To investigate the natural history of persistent pulmonary pure ground-glass nodules (pGGNs) with deep learning-assisted nodule segmentation.
Solitary Pulmonary Nodule Regression Analysis Image Interpretation, Computer-Assisted Time Tomography, X-Ray Computed Humans Female Algorithms Risk Factors Deep Learning Male Retrospective Studies Lung Neoplasms Middle Aged Follow-Up Studies Lung
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Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.

IEEE transactions on medical imaging Aug 15, 2019
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule detection in clinical practice despite their potential benefits. Maximu...
Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Early Detection of Cancer Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Sensitivity and Specificity
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Healthy Volunteers Smoking Respiration Signal-To-Noise Ratio Inflammation Magnetic Resonance Imaging Solitary Pulmonary Nodule Adult Tuberculosis, Pulmonary Pulmonary Disease, Chronic Obstructive Bronchiectasis Female Deep Learning Asthma Middle Aged Fourier Analysis Reproducibility of Results Imaging, Three-Dimensional Protons Male Lung Aged Image Processing, Computer-Assisted Xenon Isotopes Humans Young Adult Algorithms Prospective Studies Retrospective Studies
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