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Solitary Pulmonary Nodule

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Risk-Stratifying Pulmonary Nodules.

American journal of respiratory and critical care medicine Jan 1, 2021
Deep Learning Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans
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Diagnostic classification of solitary pulmonary nodules using support vector machine model based on 2-[18F]fluoro-2-deoxy-D-glucose PET/computed tomography texture features.

Nuclear medicine communications Jun 1, 2020
PURPOSE: This study aimed to evaluate the diagnostic value of a support vector machine (SVM) model built with texture features based on standard 2-[F]fluoro-2-deoxy-D-glucose (F-FDG) PET in patients with solitary pulmonary nodules (SPNs) at a volume ...
Tumor Burden Middle Aged Fluorodeoxyglucose F18 ROC Curve Retrospective Studies Support Vector Machine Image Processing, Computer-Assisted Female Humans Solitary Pulmonary Nodule Male Positron Emission Tomography Computed Tomography
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Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review.

Journal of digital imaging Jun 1, 2020
This paper presents a systematic review of the literature focused on the lung nodule detection in chest computed tomography (CT) images. Manual detection of lung nodules by the radiologist is a sequential and time-consuming process. The detection is ...
Tomography, X-Ray Computed Lung Deep Learning Humans Lung Neoplasms Solitary Pulmonary Nodule
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Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.

Journal of digital imaging Dec 1, 2019
Remarkable progress has been made in image classification and segmentation, due to the recent study of deep convolutional neural networks (CNNs). To solve the similar problem of diagnostic lung nodule detection in low-dose computed tomography (CT) sc...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Lung 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...
Machine Learning Databases, Factual Tomography, X-Ray Computed Humans Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Reproducibility of Results Sensitivity and Specificity Lung Radiographic Image Interpretation, Computer-Assisted
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[Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2019
Computer-aided diagnosis based on computed tomography (CT) image can realize the detection and classification of pulmonary nodules, and improve the survival rate of early lung cancer, which has important clinical significance. In recent years, with t...
Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Humans Deep Learning Tomography, X-Ray Computed
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Lung Databases, Factual Humans Lung Neoplasms Tomography, X-Ray Computed Deep Learning Solitary Pulmonary Nodule Reproducibility of Results ROC Curve Radiographic Image Interpretation, Computer-Assisted
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Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Knowledge Bases Deep Learning Humans Lung Neoplasms Neural Networks, Computer Tomography, X-Ray Computed
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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
Radiographic Image Interpretation, Computer-Assisted ROC Curve Humans Multiple Pulmonary Nodules Lung Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Tomography, X-Ray Computed Deep Learning Sensitivity and Specificity
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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Journal of digital imaging Dec 1, 2017
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resour...
Phylogeny Reproducibility of Results Genetic Variation Lung Neoplasms Diagnosis, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Humans Support Vector Machine Lung Image Processing, Computer-Assisted Tomography, X-Ray Computed Solitary Pulmonary Nodule
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