AIMC Topic: Lung Diseases

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Automatization and improvement of μCT analysis for murine lung disease models using a deep learning approach.

Respiratory research May 24, 2020
BACKGROUND: One of the main diagnostic tools for lung diseases in humans is computed tomography (CT). A miniaturized version, micro-CT (μCT) is utilized to examine small rodents including mice. However, fully automated threshold-based segmentation an...
Animals Male Deep Learning Female Lung Diseases Pattern Recognition, Automated Absorptiometry, Photon X-Ray Microtomography Mice Lipopolysaccharides Mice, Inbred C57BL
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Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

European radiology Mar 28, 2020
OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance imaging (MRI) in the classification of the pulmonary lesion and identify optimal machine learning methods.
Adult Lung Diseases Male Multiparametric Magnetic Resonance Imaging Middle Aged Female ROC Curve Lung Humans Aged Cohort Studies Support Vector Machine Machine Learning Young Adult Retrospective Studies
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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 Image Processing, Computer-Assisted Radiography Lung Diseases Neural Networks, Computer Lung Decision Support Systems, Clinical Humans
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Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection.

Journal of healthcare engineering Feb 22, 2020
Recently, deep reinforcement learning, associated with medical big data generated and collected from medical Internet of Things, is prospective for computer-aided diagnosis and therapy. In this paper, we focus on the application value of the second-g...
Prospective Studies Gene Expression Profiling Diagnosis, Computer-Assisted Lung Diseases Humans Deep Learning Sequence Analysis, DNA
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Machine learning for syndromic surveillance using veterinary necropsy reports.

PloS one Feb 5, 2020
The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine lea...
Gastrointestinal Diseases Urologic Diseases Area Under Curve Lung Diseases Supervised Machine Learning Machine Learning ROC Curve Logistic Models Animals Deep Learning
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Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification.

IEEE journal of biomedical and health informatics Jan 16, 2020
Existing multi-label medical image learning tasks generally contain rich relationship information among pathologies such as label co-occurrence and interdependency, which is of great importance for assisting in clinical diagnosis and can be represent...
Humans Image Interpretation, Computer-Assisted Radiography, Thoracic Thorax Data Curation Neural Networks, Computer Databases, Factual Lung Diseases
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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.
Lung Diseases Lung Diseases, Interstitial Radiography, Thoracic Humans Pneumothorax Pleural Diseases Area Under Curve Sensitivity and Specificity ROC Curve Female Radiography Middle Aged Lung Neoplasms Male Aged Pleural Effusion Deep Learning Solitary Pulmonary Nodule Adult
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Pulmonary Textures Classification via a Multi-Scale Attention Network.

IEEE journal of biomedical and health informatics Nov 4, 2019
Precise classification of pulmonary textures is crucial to develop a computer aided diagnosis (CAD) system of diffuse lung diseases (DLDs). Although deep learning techniques have been applied to this task, the classification performance is not satisf...
Humans Tomography, X-Ray Computed Lung Diseases Lung Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted
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Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images.

Computer methods and programs in biomedicine Oct 31, 2019
BACKGROUND AND OBJECTIVE: In most patients presenting with respiratory symptoms, the findings of chest radiography play a key role in the diagnosis, management, and follow-up of the disease. Consolidation is a common term in radiology, which indicate...
Datasets as Topic X-Rays Data Interpretation, Statistical Humans Lung Diseases Algorithms Image Interpretation, Computer-Assisted Deep Learning
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The role of AI in diagnosing lung diseases.

The Lancet. Respiratory medicine Sep 26, 2019
United States Food and Drug Administration Information Dissemination Role Male Humans United States Artificial Intelligence Lung Diseases Female
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