Renal cancer management is challenging from diagnosis to treatment and follow-up. In
cases of small renal masses and cystic lesions the differential diagnosis of benign or …

Radiomics and artificial intelligence (AI) may increase the differentiation of benign from
malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma …

Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused
nearly 685,000 deaths worldwide in the last two years, making it the most common …

Simple Summary Radiomics may answer questions where the conventional interpretation of
medical imaging has limitations. The aim of our systematic review and meta-analysis was to …

Triple-negative breast cancer (TNBC) is a subset of breast cancer with an adverse prognosis
and significant tumor heterogeneity. Here, we extract quantitative radiomic features from …

Deep learning (DL) is a breakthrough technology for medical imaging with high sample size
requirements and interpretability issues. Using a pretrained DL model through a radiomics …

Background: To explore the prognostic value of radiomics-based and digital pathology-
based imaging biomarkers from macroscopic magnetic resonance imaging (MRI) and …

Simple Summary Radiogenomics is the science of studying imaging–pathology associations
on a genomic level. With the potential for improved non-invasive characterization of tumors …

Purpose Radiomics is a specific field of medical research that uses programmable
recognition tools to extract objective information from standard images to combine with …

Abstract Coronavirus disease 2019 (COVID-19) is caused by Severe Acute Respiratory
Syndrome Coronavirus 2 which enters the body via the angiotensin-converting enzyme 2 …