European Radiology Experimental

Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

This study evaluates deep learning (DL) algorithms that are playing an increasingly important role in automatic medical image analysis. The DL algorithm used...

European Radiology Experimental

2 weeks ago

Evaluating a deep learning software for lung parenchyma characterization in COVID-19 pneumonia

The aim of this study was to evaluate the performance of the LungQuant system, which is a deep learning-based software for quantitative analysis of chest CT....

European Radiology Experimental

1 month ago

AI for prostate MRI: open datasets, available applications, and grand challenges

This narrative review provides an overview of the current state-of-the-art artificial intelligence (AI) applications for prostate MRI by focusing on open...

European Radiology Experimental

5 months ago

Tasks for AI in prostate MRI

The authors of this narrative review aimed to introduce quality metrics for emerging artificial intelligence (AI) papers, such as the Checklist for Artificial...

European Radiology Experimental

6 months ago

Prediction of lipomatous soft tissue malignancy on MRI

This study, which included a cohort of 145 patients affected by lipomatous soft tissue tumours, aimed to compare the performances of MRI radiomic machine...

European Radiology Experimental

8 months ago

The role of radiomics in the detection of lymph node metastases

The authors of this retrospective analysis looked at the role that radiomics played when applied to contrast-enhanced computed tomography (CT) in detecting...

European Radiology Experimental

9 months ago

MRI-based radiomics to predict response in locally advanced rectal cancer

The study aimed to implement and externally validate an MRI-based radiomics pipeline in order to predict the response to treatment of locally advanced rectal...

European Radiology Experimental

12 months ago

The latest developments in radiomics and AI may help against prostate cancer

The authors of this systematic review explored the currently available literature on artificial intelligence (AI) and radiomics applied to molecular imaging...

European Radiology Experimental

1 year ago

Metadata Models: The position of the AI for Health Imaging (AI4HI) network

Due to the enormous amount of imaging data that is becoming available, there is a wide range of possible improvements that can be provided by artificial...

European Radiology Experimental

1 year ago

The potential of texture analysis for breast density classification

Breast cancer continues to be the most commonly diagnosed cancer among women with over 2 million new cases per year worldwide. One important independent risk...

European Radiology Experimental

1 year ago