Articles

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

2 years ago

European Radiology

editorial comment

This editorial comment discusses the study by Li et al., entitled “Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning”. The original article to which the editorial comment refers aimed to establish predictive models based on preoperative multiparametric MRI, related to molecular subtyping of diffuse gliomas.

Article: Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

Authors: Zijian Zhou

Written by

European Radiology

CTO Peter Schardt talks radiology tech and innovation at premium ESOR event

In a special interview for the ESR’s premium event on ‘Artificial Intelligence in Oncologic Imaging’, the European School of Radiology...

ESR

3 years ago

CTO Peter Schardt talks radiology tech and innovation at premium ESOR event

Evaluating the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients

In the ever-evolving landscape of radiology, the quest for enhanced image quality and reduced noise, particularly in obese patients, remains an enduring...

Fides Regina Schwartz

6 days ago

Evaluating the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

Over a decade in the making, the novel concept of radiomics has been silently brewing, promising to reshape the landscape of personalised and precision...

Hyun Soo Ko

2 weeks ago

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

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

3 weeks ago

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

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

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.