Latest AI and machine learning research in pulmonology for healthcare professionals.
The Lung nodules are very important to indicate the lung cancer, and its early detection enables tim...
As is eminent, lung cancer is one of the death frightening syndromes among people in present cases. ...
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious disease in de...
Lung ultrasound comets are "comet-tail" artifacts appearing in lung ultrasound images. They are part...
Early detection and classification of pulmonary nodules using computer-aided diagnosis (CAD) systems...
The purpose of the study was to compare the texture based discriminative performances between non-co...
PURPOSE: Segmentation of pulmonary nodules is critical for the analysis of nodules and lung cancer d...
BACKGROUND: Disease comorbidity is very common and has significant impact on disease treatment. Reve...
Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (C...
Risk stratification (characterization) of tumors from radiology images can be more accurate and fast...
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for loca...
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identificat...
STUDY DESIGN: Randomized dual center controlled clinical trial.
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health ...
A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the d...
Machine learning approaches hold great potential for the automated detection of lung nodules on ches...
Chronic thromboembolic pulmonary hypertension (CTEPH) is a debilitating disease that progresses to r...
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems...
Bovine respiratory disease (BRD) is the most common infectious disease in dairy and beef cattle. It ...
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting ...
Automated tissue classification is an essential step for quantitative analysis and treatment of emph...