AIMC Topic: Lung Neoplasms

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Application of an artificial neural network model for selection of potential lung cancer biomarkers.

Journal of breath research May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Male Middle Aged Case-Control Studies Lung Neoplasms Adenocarcinoma Young Adult Adult Sensitivity and Specificity Biomarkers, Tumor Smoking Solid Phase Microextraction Breath Tests Exhalation Small Cell Lung Carcinoma Carcinoma, Non-Small-Cell Lung Mass Spectrometry Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Humans Neural Networks, Computer Female Aged Aged, 80 and over
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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...
Cluster Analysis Diagnosis, Computer-Assisted Pattern Recognition, Automated Solitary Pulmonary Nodule Models, Statistical Humans Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Algorithms Lung Neoplasms Tomography, X-Ray Computed Support Vector Machine Reproducibility of Results
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A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applications.

BioMed research international Mar 29, 2015
During radiotherapy treatment for thoracic and abdomen cancers, for example, lung cancers, respiratory motion moves the target tumor and thus badly affects the accuracy of radiation dose delivery into the target. A real-time image-guided technique ca...
Motion Humans Respiratory Mechanics Neural Networks, Computer Lung Neoplasms Models, Biological
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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...
Radiographic Image Enhancement Reproducibility of Results Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Regression Analysis Data Interpretation, Statistical Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Humans
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Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

TheScientificWorldJournal Feb 23, 2015
This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" variants for lung cancer prediction. These machine learning classifiers were trained to predict lung c...
Biomarkers, Tumor Lung Neoplasms Support Vector Machine Carcinoma, Non-Small-Cell Lung Tumor Suppressor Protein p53 Humans Mutation ErbB Receptors Neural Networks, Computer Proto-Oncogene Proteins p21(ras)
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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...
Pattern Recognition, Automated ROC Curve Wavelet Analysis Imaging, Three-Dimensional Incidental Findings Humans Lung Neoplasms Algorithms Support Vector Machine Solitary Pulmonary Nodule Tomography, X-Ray Computed Sensitivity and Specificity Area Under Curve Radiographic Image Interpretation, Computer-Assisted Referral and Consultation Automation
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Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

Journal of applied clinical medical physics Jan 8, 2015
The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be patient-dependent because the SRTS relies on an individual correlation between the internal tumor position (ITP) and the external marker position (EMP), a...
Patient Positioning Phantoms, Imaging Movement Radiotherapy, Image-Guided Radiotherapy Setup Errors Respiratory-Gated Imaging Techniques Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Software Radiotherapy, Intensity-Modulated Algorithms Thorax Male Humans Female Radiosurgery Middle Aged Aged Lung Neoplasms Aged, 80 and over Robotics
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Classification of lung cancer using ensemble-based feature selection and machine learning methods.

Molecular bioSystems Dec 16, 2014
Lung cancer is one of the leading causes of death worldwide. There are three major types of lung cancers, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC) and carcinoid. NSCLC is further classified into lung adenocarcinoma (LADC), sq...
Reproducibility of Results Biomarkers, Tumor Cell Line, Tumor ROC Curve Lung Neoplasms Humans Artificial Intelligence Algorithms Cluster Analysis Databases, Nucleic Acid Gene Expression Regulation, Neoplastic Epigenomics Support Vector Machine DNA Methylation
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Robotic and video-assisted thoracic surgery lung segmentectomy for malignant and benign lesions.

Interactive cardiovascular and thoracic surgery Dec 4, 2014
OBJECTIVES: The experience with robotic techniques (RATS) and video-assisted thoracic surgery (VATS) in pulmonary segmentectomy is still limited. We evaluated our prospectively recorded database to compare two different minimally invasive techniques.
Humans Retrospective Studies Female Robotics Male Aged Pneumonectomy Middle Aged Aged, 80 and over Lung Diseases Adolescent Young Adult Thoracic Surgery, Video-Assisted Lung Neoplasms Adult Diagnosis, Differential
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Three-dimensional SVM with latent variable: application for detection of lung lesions in CT images.

Journal of medical systems Dec 4, 2014
The study aims to improve the performance of current computer-aided schemes for the detection of lung lesions, especially the low-contrast in gray density or irregular in shape. The relative position between suspected lesion and whole lung is, for th...
Humans Algorithms Tomography, X-Ray Computed Time Factors Lung Neoplasms Lung Diseases Support Vector Machine Radiographic Image Interpretation, Computer-Assisted
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