AIMC Topic: Lung Diseases

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Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

IEEE journal of biomedical and health informatics Aug 19, 2019
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical world. Of particular interest are several imaging-artifacts, e.g., A- and B- line artifacts. While A-lines are a visual pattern which essentially represe...
Humans Supervised Machine Learning Image Interpretation, Computer-Assisted Lung Artifacts Deep Learning Phantoms, Imaging Ultrasonography Lung Diseases
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Deep Learning to Assess Long-term Mortality From Chest Radiographs.

JAMA network open Jul 3, 2019
IMPORTANCE: Chest radiography is the most common diagnostic imaging test in medicine and may also provide information about longevity and prognosis.
Clinical Trials as Topic Radiography, Thoracic Thorax Risk Assessment Neural Networks, Computer Deep Learning Aged Humans Mass Screening Prognosis Male Female Lung Diseases Cardiovascular Diseases Risk Factors Middle Aged
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Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.

Medical image analysis Jun 12, 2019
A novel method to detect and classify several classes of diseased and healthy lung tissue in CT (Computed Tomography), based on the fusion of Riesz and deep learning features, is presented. First, discriminative parametric lung tissue texture signatu...
Humans Radiographic Image Interpretation, Computer-Assisted Lung Diseases Datasets as Topic Tomography, X-Ray Computed Reproducibility of Results Deep Learning
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Dense networks with relative location awareness for thorax disease identification.

Medical physics Apr 14, 2019
PURPOSE: Chest X-ray is one of the most common examinations for diagnosing heart and lung diseases. Due to the existing of a large number of clinical cases, many automated diagnosis algorithms based on chest X-ray images have been proposed. To our kn...
Humans Neural Networks, Computer Algorithms Databases, Factual Pattern Recognition, Automated Radiography, Thoracic Thoracic Diseases Diagnosis, Computer-Assisted Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Lung Diseases
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Analysis of Machine Learning Algorithms for Diagnosis of Diffuse Lung Diseases.

Methods of information in medicine Mar 15, 2019
UNLABELLED: Computational Intelligence Re-meets Medical Image Processing A Comparison of Some Nature-Inspired Optimization Metaheuristics Applied in Biomedical Image Registration BACKGROUND:  Diffuse lung diseases (DLDs) are a diverse group of pulmon...
Humans Diagnosis, Computer-Assisted Lung Diseases Machine Learning Time Factors Algorithms Principal Component Analysis Discriminant Analysis
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Ankle Fractures Medicaid Open Fracture Reduction Diabetes Mellitus Age Factors Length of Stay Fracture Fixation, Internal Humans Hospital Mortality Lung Diseases Machine Learning Medicare United States Algorithms Heart Failure Hypertension Databases, Factual Male Anemia Female Middle Aged Renal Insufficiency Risk Factors Postoperative Complications Cross-Sectional Studies
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How far have we come? Artificial intelligence for chest radiograph interpretation.

Clinical radiology Jan 28, 2019
Due to recent advances in artificial intelligence, there is renewed interest in automating interpretation of imaging tests. Chest radiographs are particularly interesting due to many factors: relatively inexpensive equipment, importance to public hea...
Humans Artificial Intelligence Machine Learning Algorithms Forecasting Radiography, Thoracic Diagnosis, Computer-Assisted Lung Diseases Tuberculosis, Pulmonary
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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Medical image analysis Jan 9, 2019
Machine learning approaches hold great potential for the automated detection of lung nodules on chest radiographs, but training algorithms requires very large amounts of manually annotated radiographs, which are difficult to obtain. The increasing av...
Radiography, Thoracic Diagnosis, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Lung Diseases Algorithms Datasets as Topic
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Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.

Computers in biology and medicine Nov 10, 2018
BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with obstructive type of lung diseases. The previous works on wheeze-type classification focused mainly on using fixed time-frequency/scale resolution base...
Signal Processing, Computer-Assisted Lung Diseases Humans Wavelet Analysis Lung Respiratory Sounds Support Vector Machine
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Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Lung Diseases Creatinine Skin Diseases Humans Arthritis Female Heart Diseases Middle Aged Proteinuria Retrospective Studies Adult Gastrointestinal Diseases Delayed Diagnosis Brazil Cross-Sectional Studies Acute Kidney Injury Granulomatosis with Polyangiitis Eye Diseases Disease Progression Male Nervous System Diseases Adrenal Cortex Hormones
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