thorax

Creating a training set for AI from initial segmentations of airways

An important challenge in the use of artificial intelligence (AI) for medical image segmentation tasks is the lack of high-quality, scan protocol-specific...

Ivan Dudurych

11 months ago

Creating a training set for AI from initial segmentations of airways

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated CT image analysis system in order to detect and diagnose...

European Radiology

1 year ago

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Radiomics approach for survival prediction in chronic obstructive pulmonary disease

The idea of quantification of disease severity of chronic obstructive pulmonary disease (COPD) with CT has been introduced as early as the late 1980s with the...

Joon Beom Seo

2 years ago

Radiomics approach for survival prediction in chronic obstructive pulmonary disease

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

In this study, the authors proposed a deep learning method for the detection and quantification of pneumothorax in heterogeneous routine clinical data, which...

European Radiology Experimental

2 years ago

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

Deep learning: definition and perspectives for thoracic imaging

The authors of this review aimed to provide definitions for understanding the methods of machine learning, deep learning, and convolutional neural networks...

European Radiology

3 years ago

Creating a training set for AI from initial segmentations of airways

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Radiomics approach for survival prediction in chronic obstructive pulmonary disease

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

Deep learning: definition and perspectives for thoracic imaging

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

Latest posts

Creating a training set for AI from initial segmentations of airways

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Radiomics approach for survival prediction in chronic obstructive pulmonary disease

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

Deep learning: definition and perspectives for thoracic imaging

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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