Radiomics, the high-throughput extraction of quantitative imaging features from medical
images, holds immense potential for advancing precision medicine in oncology and beyond …

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage
test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined …

Background Prostate volume, as determined by magnetic resonance imaging (MRI), is a
useful biomarker both for distinguishing between benign and malignant pathology and can …

Prostate cancer (PCa) is the most frequent male malignancy and the assessment of PCa
aggressiveness, for which a biopsy is required, is fundamental for patient management …

Objective The aim of this study was (1) to investigate the application of texture analysis of
choline PET/CT images in prostate cancer (PCa) patients and (2) to propose a machine …

Featured Application The study demonstrates that high-speed deep learning networks could
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …

Radiomics aims to support clinical decisions through its workflow, which is divided into:(i)
target identification and segmentation,(ii) feature extraction,(iii) feature selection, and (iv) …

Because of its simplicity and effectiveness, fuzzy K-nearest neighbors (FKNN) is widely used
in literature. The parameters have an essential impact on the performance of FKNN. Hence …

Featured Application The study proposes an analysis of the robustness of Positron Emission
Tomography (PET) radiomics features after PET image co-registration with two different …

Background: In the field of biomedical imaging, radiomics is a promising approach that aims
to provide quantitative features from images. It is highly dependent on accurate identification …