… hypothesized that a radiomics signature incorporating a panel of stable radiomics features
might … Therefore, the goal of this study was to develop and validate a radiomics signature for …

… of a radiomics signature for prediction of ECE status, and we hypothesize that additional
radiomics … Therefore, we aim to develop and validate a radiomics signature to predict the side-…

… We used the LASSO classifier to build radiomics signatures based on the top-ranking
features of each single sequence and a multivariable logistic regression to build mpMRI …

… In summary, the potential application value of radiomics in ECE is promising. However,
there are few studies on the applications of radiomics in the preoperative prediction of ECE in …

… performance than the corresponding ITR radiomics signatures (AUC: 0.674 vs… radiomics
signature with clinical characteristics performed better than corresponding radiomics signatures …

… with pathology-detected extracapsular extension (pECE). These … radiomics application in
PCa, so far, but more research is warranted in order to get robustness of MRI- based radiomics …

… of radiomic features with other important prognostic parameters, such as extracapsular extension
(… a reproducible radiomic-pipeline for the extraction of a radiomic signature from mpMRI …

… To develop radiomics signatures of HNSCC clinical parameters, we extracted 2131 radiomic
… same performance for identifying extracapsular spread as radiologists, likely because our …

… It can be hypothesized that including our radiomics signature in the EPE grade scoring system
might possibly further increase its diagnostic accuracy and reliability while supporting less …

… or not, deep learning (DL) or not, single or multiple scanners, and if the best predictive models
only included radiomics features or if they combined radiomics features with clinical data. …