mri

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

2 months ago

Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging

In an attempt to determine whether deep learning with the convolutional neural networks (CNN) can be used for identifying parkinsonian disorder on MRI, the...

European Radiology

2 months ago

Machine learning classifiers vs. Experienced radiologists: Predicting Gleason pattern 4 prostate cancer

The authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for detecting and...

European Radiology

3 months ago

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

The authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for detecting and...

European Radiology Experimental

3 months ago

Using radiomics for the preoperative estimation of pathological grade in bladder cancer tumors

The goal of this study was to develop and authenticate an MRI-based radiomics strategy for the preoperative estimation of pathological grade in bladder cancer...

European Radiology

3 months ago

Is there a future for deep learning-based generative models in musculoskeletal radiology?

This article sought to investigate the potential of generative models in the field of MRI of the spine, and did so by performing clinically relevant benchmark...

European Radiology Experimental

6 months ago

Using a multiple classifier system for lesion detection and classification in breast MRI analysis

In breast magnetic resonance imaging (MRI) analysis for lesion detection and classification, radiologists agree that both morphological and dynamic features...

European Radiology Experimental

7 months ago

Radiomics of liver MRI predict metastases in mice

This study aimed to investigate whether any texture features show a correlation with intrahepatic tumor growth before the metastasis is visible to the human...

European Radiology Experimental

7 months 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

7 months ago