radiomics

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

This article sets out to determine whether machine learning can be used to train and calibrate the signature for diagnosing hepatocellular carcinoma in...

European Radiology

3 years ago

Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features

Despite the encouraging results, more studies are needed in order to further evaluate these preliminary findings and to find to what extent radiomics and AI...

Alberto Tagliafico

3 years ago

Why radiomics research does not translate to clinical practice: evaluation of literature using RQS and TRIPOD

Over the last few years, the number of studies published using quantitative imaging biomarkers to classify or predict pathologies has steadily increased. As...

Daniel Pinto dos Santos

3 years ago

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

3 years ago

What the radiologist should know about artificial intelligence – an ESR white paper

Did you ever get lost between all the buzz words floating around like artificial intelligence, imaging informatics, radiomics, imaging biobanks, neural...

Daniel Pinto dos Santos

3 years ago

How machine learning-based high-dimensional CT texture analysis is influenced by segmentation margin

Radiomic workflows include various challenging steps. One of the most demanding steps in radiomics is the segmentation process. Particularly for the renal...

Burak Kocak

3 years ago

Radiomics: a critical step towards integrated healthcare

This article aims to bring together the various technological developments that have taken place in medical imaging analysis and highlight a potential path...

Zuhir Bodalal

3 years ago

Radiomics: the facts and the challenges of image analysis

Radiomics is a complex multi-step process that can be considered as part of the more complex world of Artifical Intelligence (AI). The aim of radiomics is...

Stefania Rizzo

3 years ago

Comparing computer- and human-extracted imaging phenotypes

This retrospective study sought to investigate if computer-extracted magnetic resonance imaging (MRI) phenotypes of breast cancer could...

European Radiology Experimental

3 years ago