AIMC Topic: Lung Neoplasms

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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...
Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Imaging, Three-Dimensional Neural Networks, Computer Lung Neoplasms Tomography, X-Ray Computed Solitary Pulmonary Nodule Sensitivity and Specificity
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ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network.

EBioMedicine Nov 22, 2019
BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key "hallmarks of cancer". Ho...
Neoplasm Staging Workflow Histocytochemistry Web Browser Male Humans Adenocarcinoma of Lung Algorithms Deep Learning Female Neural Networks, Computer Image Processing, Computer-Assisted Reproducibility of Results Lung Neoplasms Software Tumor Microenvironment
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Deep segmentation networks predict survival of non-small cell lung cancer.

Scientific reports Nov 21, 2019
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/comp...
Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Datasets as Topic Radiosurgery Lung Neoplasms Treatment Outcome Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Middle Aged Lung Deep Learning Image Processing, Computer-Assisted Female Aged Humans Aged, 80 and over Prognosis Survival Rate Retrospective Studies Male
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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 Area Under Curve Radiography Pleural Effusion Lung Diseases Pneumothorax Deep Learning Pleural Diseases Adult ROC Curve Sensitivity and Specificity Lung Neoplasms Male Solitary Pulmonary Nodule Middle Aged Lung Diseases, Interstitial Radiography, Thoracic
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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...
Solitary Pulmonary Nodule Early Detection of Cancer Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Lung Neoplasms Humans
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CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

International journal of computer assisted radiology and surgery Nov 13, 2019
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malig...
Neoplasm Staging Biopsy Neoplasm Metastasis Lung ROC Curve Lung Neoplasms Predictive Value of Tests Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Male Middle Aged Humans Machine Learning
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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...
Humans Aged Young Adult Adult Sensitivity and Specificity Male Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Solitary Pulmonary Nodule Middle Aged Radiographic Image Interpretation, Computer-Assisted Lung Radiography, Thoracic Lung Neoplasms Multiple Pulmonary Nodules
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Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model.

Scientific reports Nov 11, 2019
The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of first symptoms/sensations was administered...
Models, Theoretical Sensation Symptom Assessment Machine Learning Prognosis Female Reproducibility of Results Middle Aged ROC Curve Lung Neoplasms Humans Aged Male
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Lung Nodule Detection based on Ensemble of Hand Crafted and Deep Features.

Journal of medical systems Nov 8, 2019
Lung cancer is considered as a deadliest disease worldwide due to which 1.76 million deaths occurred in the year 2018. Keeping in view its dreadful effect on humans, cancer detection at a premature stage is a more significant requirement to reduce th...
Machine Learning Algorithms Tomography, X-Ray Computed Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans
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Novelties in imaging in pulmonary fibrosis and nodules. A narrative review.

Pulmonology Nov 7, 2019
In recent months two major fields of interest in pulmonary imaging have stood out: pulmonary fibrosis and pulmonary nodules. New guidelines have been released to define pulmonary fibrosis and subsequent studies have proved the value of these changes....
Artificial Intelligence Algorithms Tomography, X-Ray Computed Lung Humans Lung Neoplasms Multiple Pulmonary Nodules Pulmonary Fibrosis
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