machine learning

Single-center versus multi-center biparametric MRI radiomics approach

In this study, the authors’ aim was to investigate a previously developed radiomics-based biparametric magnetic resonance imaging (bpMRI) approach used...

Insights into Imaging

2 months ago

Single-center versus multi-center biparametric MRI radiomics approach

Clinical applications of AI and radiomics in neuro-oncology

In this educational review, the authors take a comprehensive look at various aspects and applications of artificial intelligence (AI) in the field of...

Insights into Imaging

3 months ago

Clinical applications of AI and radiomics in neuro-oncology

Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?

In this retrospective study, the authors investigated if radiomics features extracted from nephrographic-phase (NP) CT images combined with...

Insights into Imaging

3 months ago

Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?

Measuring bias when using cross-validation in radiomics

Radiomics studies often perform a feature selection step to remove redundant and irrelevant features from the generic features extracted from radiological...

Aydin Demircioğlu

6 months ago

Measuring bias when using cross-validation in radiomics

Artificial neural network detects contrast phase in MDCT

Automated extraction of novel biomarkers from routine imaging examinations, e.g., opportunistic CT, is a promising opportunity to extend current screening...

Sebastian Rühling

6 months ago

Artificial neural network detects contrast phase in MDCT

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

The authors of this study aimed to determine the efficacy of a convolutional neural network (CNN) in final infarct volume prediction from computed tomography...

European Radiology Experimental

8 months ago

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

Beyond hopes and hype, the clinical applicability of artificial intelligence decision support tools deserves to be rigorously explored in multicenter...

Arnaldo Stanzione

11 months ago

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

COVID-19 classification of X-ray images using deep neural networks

The authors of this retrospective study propose a deep learning model for the detection of COVID-19 from chest x-rays (CXRs), as well as a tool for retrieving...

European Radiology

11 months ago