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Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 2605-2625 of 6,554 articles

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject o...

Aug 2022 PMID: 36063689

Clinical and Biological Significances of a Ferroptosis-Related Gene Signature in Lung Cancer Based on Deep Learning.

Acyl-CoA synthetase long-chain family member 4 (ACSL4) has been linked to the occurrence of tumors a...

Aug 2022 PMID: 36060648

Automatic detection of A-line in lung ultrasound images using deep learning and image processing.

BACKGROUND: Auxiliary diagnosis and monitoring of lung diseases based on lung ultrasound (LUS) image...

Aug 2022 PMID: 35950481

Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.

OBJECTIVE: To investigate the feasibility and accuracy of applying a computed tomography (CT) textur...

Aug 2022 PMID: 35998185

Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction.

Pneumonia disease accounts for 15% of all deaths in children under the age of five and early detecti...

Aug 2022 PMID: 35997924

Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network.

Lung disease is one of the most harmful diseases in traditional days and is the same nowadays. Early...

Aug 2022 PMID: 36052039

Deep Convolutional Neural Network Mechanism Assessment of COVID-19 Severity.

As an epidemic, COVID-19's core test instrument still has serious flaws. To improve the present cond...

Aug 2022 PMID: 36051480

[Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images: Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage].

PURPOSE: Using ultra-high-resolution images reconstructed with the Advanced intelligent Clear-IQ Eng...

Aug 2022 PMID: 35989253

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.

Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and crazy pavin...

Aug 2022 PMID: 35988110

Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus.

OBJECTIVES: The aim of the present study was to create effective deep learning-based models for diag...

Aug 2022 PMID: 35984588

Deep learning reveals cuproptosis features assist in predict prognosis and guide immunotherapy in lung adenocarcinoma.

BACKGROUND: Cuproptosis is a recently found non-apoptotic cell death type that holds promise as an e...

Aug 2022 PMID: 36060936

Deep Learning-Based Computed Tomography Features in Evaluating Early Screening and Risk Factors for Chronic Obstructive Pulmonary Disease.

This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on...

Aug 2022 PMID: 36051929

Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.

OBJECTIVE: Accurate segmentation of the lung nodule in computed tomography images is a critical comp...

Aug 2022 PMID: 35717560

Interstitial lung disease detection using template matching combined sparse coding and blended multi class support vector machine.

Interstitial lung disease (ILD), representing a collection of disorders, is considered to be the dea...

Aug 2022 PMID: 35978493

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Auscultation plays an important role in the clinic, and the research community has been exploring ma...

Aug 2022 PMID: 35974706

Attention Mask R-CNN with edge refinement algorithm for identifying circulating genetically abnormal cells.

Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers i...

Aug 2022 PMID: 36908135

Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.

PURPOSE: To develop a novel multimodal data fusion model by incorporating computed tomography (CT) i...

Aug 2022 PMID: 35938604

Browse Categories

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

Clinical and Biological Significances of a Ferroptosis-Related Gene Signature in Lung Cancer Based on Deep Learning.

Automatic detection of A-line in lung ultrasound images using deep learning and image processing.

Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.

Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction.

Aerial Separation and Receiver Arrangements on Identifying Lung Syndromes Using the Artificial Neural Network.

Deep Convolutional Neural Network Mechanism Assessment of COVID-19 Severity.

[Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images: Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage].

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.

Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus.

Deep learning reveals cuproptosis features assist in predict prognosis and guide immunotherapy in lung adenocarcinoma.

Deep Learning-Based Computed Tomography Features in Evaluating Early Screening and Risk Factors for Chronic Obstructive Pulmonary Disease.

Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.

Interstitial lung disease detection using template matching combined sparse coding and blended multi class support vector machine.

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Attention Mask R-CNN with edge refinement algorithm for identifying circulating genetically abnormal cells.

Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.

Deep Learning-Based CT Imaging in the Diagnosis of Treatment Effect of Pulmonary Nodules and Radiofrequency Ablation.

Application of Machine Learning in Hospitalized Patients with Severe COVID-19 Treated with Tocilizumab.

Deep learning-based diagnosis from endobronchial ultrasonography images of pulmonary lesions.

A systematic review of deep learning methods for modeling electrocardiograms during sleep.

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