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Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 3277-3297 of 6,570 articles

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.

Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein...

Jun 2021 PMID: 33635786

Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.

Chronic airway diseases are characterized by airway inflammation, obstruction, and remodeling and sh...

Jun 2021 PMID: 34220314

Automated detection of Mycobacterium tuberculosis using transfer learning.

INTRODUCTION: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical ...

May 2021 PMID: 34106892

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score.

BACKGROUND: Several models have been developed to predict mortality in patients with COVID-19 pneumo...

May 2021 PMID: 33999838

A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation.

OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmona...

May 2021 PMID: 34158976

Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy.

During the radiotherapy treatment of patients with lung cancer, the radiation delivered to healthy t...

May 2021 PMID: 34265553

A Generative Adversarial Network (GAN) Technique for Internet of Medical Things Data.

The application of machine learning and artificial intelligence techniques in the medical world is g...

May 2021 PMID: 34071944

Automatic detect lung node with deep learning in segmentation and imbalance data labeling.

In this study, a novel method with the U-Net-based network architecture, 2D U-Net, is employed to se...

May 2021 PMID: 34045563

Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease.

We report a new approach using artificial intelligence (AI) to study and classify the severity of CO...

May 2021 PMID: 34045510

Swarm Learning for decentralized and confidential clinical machine learning.

Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of p...

May 2021 PMID: 34040261

Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of hea...

May 2021 PMID: 34077873

Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning.

BACKGROUND: Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to the brai...

May 2021 PMID: 34032344

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.

PURPOSE: Despite the widespread availability of in-treatment room cone beam computed tomography (CBC...

May 2021 PMID: 33905558

Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19.

Lung ultrasound (US) imaging has the potential to be an effective point-of-care test for detection o...

May 2021 PMID: 33755565

Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2.

A global pandemic has emerged following the appearance of the new severe acute respiratory virus who...

May 2021 PMID: 34124259

Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps.

OBJECTIVES: To develop a deep learning-based pulmonary vessel segmentation algorithm (DLVS) from non...

May 2021 PMID: 34009411

Browse Categories

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.

Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.

Automated detection of Mycobacterium tuberculosis using transfer learning.

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score.

A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation.

Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy.

A Generative Adversarial Network (GAN) Technique for Internet of Medical Things Data.

Automatic detect lung node with deep learning in segmentation and imbalance data labeling.

Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease.

Swarm Learning for decentralized and confidential clinical machine learning.

Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning.

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.

Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19.

Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2.

Deep-Learning-Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies.

Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model.

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.

Segmenting lung lesions of COVID-19 from CT images via pyramid pooling improved Unet.

Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs.

Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps.

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