AIMC Topic: Lung

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Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

European radiology Mar 11, 2020
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising from percutaneous lung biopsy. We evaluated the performance of a deep learning algorithm for detection of post-biopsy pneumothorax in chest radiographs ...
Middle Aged Lung Deep Learning Cohort Studies Aged Adult Sensitivity and Specificity Male Biopsy, Needle Pneumothorax ROC Curve Area Under Curve Radiologists Radiography, Thoracic Humans Algorithms Retrospective Studies Female
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Supervised and unsupervised language modelling in Chest X-Ray radiological reports.

PloS one Mar 10, 2020
Chest radiography (CXR) is the most commonly used imaging modality and deep neural network (DNN) algorithms have shown promise in effective triage of normal and abnormal radiograms. Typically, DNNs require large quantities of expertly labelled traini...
Supervised Machine Learning Datasets as Topic Decision Support Systems, Clinical Humans Image Processing, Computer-Assisted Neural Networks, Computer Radiography Lung Lung Diseases
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Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.

PloS one Mar 5, 2020
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our previous study, we introduced a deep convolutional neural network (DCNN) to automatically classify cytological images as images with benign or malignant ...
Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Lung Neoplasms Humans Data Accuracy Male Lung
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Calculating the target exposure index using a deep convolutional neural network and a rule base.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 27, 2020
PURPOSE: The objective of this study is to determine the quality of chest X-ray images using a deep convolutional neural network (DCNN) and a rule base without performing any visual assessment. A method is proposed for determining the minimum diagnos...
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Aged Spine Radiography, Thoracic Thorax Humans Mediastinum Middle Aged Lung Deep Learning Image Processing, Computer-Assisted
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LungRegNet: An unsupervised deformable image registration method for 4D-CT lung.

Medical physics Feb 26, 2020
PURPOSE: To develop an accurate and fast deformable image registration (DIR) method for four-dimensional computed tomography (4D-CT) lung images. Deep learning-based methods have the potential to quickly predict the deformation vector field (DVF) in ...
Lung Image Processing, Computer-Assisted Unsupervised Machine Learning Four-Dimensional Computed Tomography Humans
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Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 17, 2020
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures derived from computed tomography (CT) and F-FDG PET-CT (FDG PET-CT) images of non-small cell lung cancer (NSCLC) with and without epidermal growth factor ...
Aged Fluorodeoxyglucose F18 ErbB Receptors Sensitivity and Specificity Mutation Machine Learning Male Imaging Genomics Humans Radiopharmaceuticals Lung Retrospective Studies Lung Neoplasms Image Interpretation, Computer-Assisted Female Carcinoma, Non-Small-Cell Lung Reproducibility of Results Predictive Value of Tests Positron Emission Tomography Computed Tomography
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Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach.

BMC pulmonary medicine Feb 3, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is combination of progressive lung diseases. The diagnosis of COPD is generally based on the pulmonary function testing, however, difficulties underlie in prognosis of smokers or early stage of...
Humans Machine Learning Gene Expression Profiling Pulmonary Disease, Chronic Obstructive Case-Control Studies Cigarette Smoking Male Logistic Models Gene Expression Regulation Biomarkers Middle Aged Epithelial Cells Smokers Lung Female Adult
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Robotic fluidic coupling and interrogation of multiple vascularized organ chips.

Nature biomedical engineering Jan 27, 2020
Organ chips can recapitulate organ-level (patho)physiology, yet pharmacokinetic and pharmacodynamic analyses require multi-organ systems linked by vascular perfusion. Here, we describe an 'interrogator' that employs liquid-handling robotics, custom s...
Lab-On-A-Chip Devices Heart Microfluidics Calibration Cell Culture Techniques Robotics Equipment Design Skin Lung Kidney Humans Intestines Brain Liver Blood-Brain Barrier
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Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks.

Artificial intelligence in medicine Jan 20, 2020
Auscultation of the lung is a conventional technique used for diagnosing chronic obstructive pulmonary diseases (COPDs) and lower respiratory infections and disorders in patients. In most of the earlier works, wavelet transforms or spectrograms have ...
Humans Neural Networks, Computer Sensitivity and Specificity Lung Wavelet Analysis Respiratory Sounds
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Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks.

Scientific reports Jan 15, 2020
Subtle interstitial changes in the lung parenchyma of smokers, known as Interstitial Lung Abnormalities (ILA), have been associated with clinical outcomes, including mortality, even in the absence of Interstitial Lung Disease (ILD). Although several ...
Humans Neural Networks, Computer Databases, Factual Prognosis Tomography, X-Ray Computed Lung ROC Curve Area Under Curve Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial
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