AIMC Topic: Solitary Pulmonary Nodule

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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Medical & biological engineering & computing Oct 3, 2016
Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LID...
Radiographic Image Enhancement Support Vector Machine Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Sensitivity and Specificity Humans Male Middle Aged Models, Genetic Algorithms Tomography, X-Ray Computed Female Reproducibility of Results
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Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.

IEEE transactions on bio-medical engineering Sep 26, 2016
OBJECTIVE: False positive reduction is one of the most crucial components in an automated pulmonary nodule detection system, which plays an important role in lung cancer diagnosis and early treatment. The objective of this paper is to effectively add...
Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated False Positive Reactions Sensitivity and Specificity Diagnostic Errors Imaging, Three-Dimensional Solitary Pulmonary Nodule
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Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets.

BioMed research international Sep 18, 2016
In order to improve the detection accuracy of pulmonary nodules in CT image, considering two problems of pulmonary nodules detection model, including unreasonable feature structure and nontightness of feature representation, a pulmonary nodules detec...
Subtraction Technique Support Vector Machine Solitary Pulmonary Nodule Pattern Recognition, Automated Radiographic Image Enhancement Humans Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Neoplasms
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Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants.

BioMed research international Jul 18, 2016
The detection of pulmonary nodules is one of the most studied problems in the field of medical image analysis due to the great difficulty in the early detection of such nodules and their social impact. The traditional approach involves the developmen...
Sensitivity and Specificity Lung Neoplasms Fuzzy Logic Solitary Pulmonary Nodule Humans Pattern Recognition, Automated Radiography, Thoracic Algorithms Tomography, Spiral Computed Reproducibility of Results
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Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.

Scientific reports Apr 15, 2016
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results...
Reproducibility of Results Diagnosis, Computer-Assisted Ultrasonography Solitary Pulmonary Nodule Machine Learning Algorithms Tomography, X-Ray Computed Female Breast Datasets as Topic Humans
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Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

Medical image analysis Sep 8, 2015
In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. ...
Humans Neural Networks, Computer Software Pattern Recognition, Automated Radiographic Image Enhancement Subtraction Technique Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity
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Computer-aided lung nodule recognition by SVM classifier based on combination of random undersampling and SMOTE.

Computational and mathematical methods in medicine Apr 6, 2015
In lung cancer computer-aided detection/diagnosis (CAD) systems, classification of regions of interest (ROI) is often used to detect/diagnose lung nodule accurately. However, problems of unbalanced datasets often have detrimental effects on the perfo...
Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Support Vector Machine Humans Diagnosis, Computer-Assisted Pattern Recognition, Automated Cluster Analysis Algorithms Imaging, Three-Dimensional Solitary Pulmonary Nodule Tomography, X-Ray Computed Lung Neoplasms Models, Statistical
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Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

Medical image analysis Feb 23, 2015
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a sin...
Data Interpretation, Statistical Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Humans Regression Analysis Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Reproducibility of Results
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Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.

Biomedical engineering online Feb 12, 2015
BACKGROUND: Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the most sensitive method for detecting cancerous lung nodules. A lung...
Lung Neoplasms Humans Support Vector Machine Algorithms Solitary Pulmonary Nodule Wavelet Analysis Area Under Curve Tomography, X-Ray Computed Incidental Findings Sensitivity and Specificity ROC Curve Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Referral and Consultation Automation Pattern Recognition, Automated
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Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules.

Cancer research Dec 15, 2025
UNLABELLED: Indeterminate pulmonary nodules (IPN) are increasingly detected due to increasing health awareness and widespread lung cancer screening, yet distinguishing benign from malignant nodules remains a critical challenge. Emerging evidence sugg...
Humans Prospective Studies Female Receptors, Antigen, T-Cell Carcinoma, Non-Small-Cell Lung Multiple Pulmonary Nodules Solitary Pulmonary Nodule Aged Male Middle Aged Lung Neoplasms
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