Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

Carrying out large multicenter studies is one of the key goals to be achieved towards a faster
transfer of the radiomics approach in the clinical setting. This requires large-scale radiomics …

Noninvasive, radiological image-based detection and stratification of Gleason patterns can
impact clinical outcomes, treatment selection, and the determination of disease status at …

Abstract Objectives To investigate Haralick texture analysis of prostate MRI for cancer
detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …

Context Detection of clinically significant prostate cancer (PCa) is a major challenge. It has
been shown that multiparametric magnetic resonance imaging (mpMRI) facilitates …

In this study we assessed the repeatability of radiomics features on small prostate tumors
using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI). The premise of …

Approximately 15% of patients with prostate cancer are diagnosed with high-risk disease.
However, the current definitions of high-risk prostate cancer include a heterogeneous group …

Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …

Objective To investigate whether machine learning-based analysis of MR radiomics can
help improve the performance PI-RADS v2 in clinically relevant prostate cancer (PCa) …

Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for
diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited …