European Radiology

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

This study aimed to assess whether MRI radiomics can categorize ovarian masses and to determine the association between MRI radiomics and survival among...

European Radiology

2 years ago

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Deep learning reconstruction (DLR) is a novel method of reconstruction that introduces deep convolutional neural networks into the reconstruction flow. The...

European Radiology

2 years ago

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

Convolutional neural networks (CNN) have demonstrated the potential to become effective and accurate decision support tools for radiologists. A major barrier...

European Radiology

2 years ago

CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts

The aim of this study was to determine the effects of different reconstruction algorithms on histogram and texture features in different targets. The authors...

European Radiology

2 years ago

Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective

The main goal of this retrospective two-center study was to develop a radiomics model with all-relevant imaging features from multiphasic computed tomography...

European Radiology

2 years ago

Can liver fibrosis be staged by deep learning techniques?

This pilot study aims to investigate whether liver fibrosis can be staged by deep learning techniques based on CT images. It included CT examinations of...

European Radiology

2 years ago

Prediction of rupture risk in anterior communicating artery aneurysms

This article attempts to predict the rupture risk in anterior communicating artery (ACOM) aneurysms by using a two-layer feed-forward artificial neural...

European Radiology

2 years ago

A survey of medical students’ attitude toward AI

The aim of this survey was to assess undergraduate medical students’ attitudes towards artificial intelligence (AI) in radiology and medicine. A web-based...

European Radiology

2 years ago

Demystification of AI-driven Medical Image Interpretation

This article provides an overview of the history of AI methods for radiological image analysis with the aim to deliver a context for the latest developments....

European Radiology

2 years ago

How will Artificial Intelligence impact the field of radiology?

The topic of artificial intelligence (AI) has become one of the main points of discussion in the field of radiology and medicine. Through discussions on...

European Radiology

2 years ago