AIMC Topic: Multiple Pulmonary Nodules

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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.
Radiographic Image Interpretation, Computer-Assisted Male Quality Improvement Middle Aged Retrospective Studies Radiography, Thoracic Diagnosis, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Deep Learning Multiple Pulmonary Nodules Female Humans Solitary Pulmonary Nodule Sensitivity and Specificity Software Taiwan Algorithms
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A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.

PloS one Jul 12, 2019
BACKGROUND: Detection of pulmonary nodules is an important aspect of an automatic detection system. Incomputer-aided diagnosis (CAD) systems, the ability to detect pulmonary nodules is highly important, which plays an important role in the diagnosis ...
Early Detection of Cancer Imaging, Three-Dimensional Humans Lung Neoplasms Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Multiple Pulmonary Nodules Tomography, X-Ray Computed False Positive Reactions Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Reference Standards
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Can Artificial Intelligence Fix the Reproducibility Problem of Radiomics?

Radiology Jun 18, 2019
Deep Learning Multiple Pulmonary Nodules Humans Artificial Intelligence Tomography, X-Ray Computed Reproducibility of Results
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Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.

Radiology Jun 18, 2019
Background Intratumor heterogeneity in lung cancer may influence outcomes. CT radiomics seeks to assess tumor features to provide detailed imaging features. However, CT radiomic features vary according to the reconstruction kernel used for image gene...
Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Middle Aged Lung Deep Learning Lung Neoplasms Humans Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Male
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Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications.

Clinical radiology Jun 12, 2019
Artificial intelligence (AI) has been present in some guise within the field of radiology for over 50 years. The first studies investigating computer-aided diagnosis in thoracic radiology date back to the 1960s, and in the subsequent years, the main ...
Humans Neural Networks, Computer Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Artificial Intelligence Forecasting Tomography, X-Ray Computed Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
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Pulmonary nodule segmentation with CT sample synthesis using adversarial networks.

Medical physics Jan 31, 2019
PURPOSE: Segmentation of pulmonary nodules is critical for the analysis of nodules and lung cancer diagnosis. We present a novel framework of segmentation for various types of nodules using convolutional neural networks (CNNs).
Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Multiple Pulmonary Nodules Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed
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Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.

Thoracic cancer Dec 8, 2018
BACKGROUND: The study was conducted to evaluate the performance of a state-of-the-art commercial deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing pulmonary nodules.
Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Follow-Up Studies Multiple Pulmonary Nodules Solitary Pulmonary Nodule Early Detection of Cancer Radiologists Female Reproducibility of Results Male Middle Aged Humans Prognosis Tomography, X-Ray Computed
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Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Radiology Sep 25, 2018
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malignant pulmonary nodules on chest radiographs and to compare its performance with physicians including thoracic radiologists. Materials and Methods For ...
Aged Aged, 80 and over Young Adult Adult Algorithms Retrospective Studies Female Reproducibility of Results Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Humans Radiography, Thoracic Male Middle Aged Deep Learning Adolescent
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Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.

Physics in medicine and biology Mar 14, 2018
Lung cancer screening aims to detect small pulmonary nodules and decrease the mortality rate of those affected. However, studies from large-scale clinical trials of lung cancer screening have shown that the false-positive rate is high and positive pr...
Adult Tomography, X-Ray Computed Humans Lung Neoplasms Female Male Machine Learning Multiple Pulmonary Nodules Aged Middle Aged Early Detection of Cancer Retrospective Studies Aged, 80 and over Image Processing, Computer-Assisted
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Machine Learning Model for Predicting Pathological Invasiveness of Pulmonary Ground-Glass Nodules Based on AI-Extracted Radiomic Features.

Thoracic cancer Aug 1, 2025
BACKGROUND: With the widespread adoption of low-dose CT screening, the detection of pulmonary ground-glass nodules (GGNs) has risen markedly, presenting diagnostic challenges in distinguishing preinvasive lesions from invasive adenocarcinomas (IAC). ...
Artificial Intelligence Middle Aged Machine Learning Lung Neoplasms Retrospective Studies Multiple Pulmonary Nodules Female Humans Neoplasm Invasiveness Tomography, X-Ray Computed Aged Radiomics Male
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