Radiomics is an emerging field in quantitative imaging that uses advanced imaging features
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …

Objectives Radiomics is the extraction of quantitative data from medical imaging, which has
the potential to characterise tumour phenotype. The radiomics approach has the capacity to …

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate …

Purpose Many radiomics features were originally developed for non‐medical imaging
applications and therefore original assumptions may need to be reexamined. In this study …

Radiomics extracts and mines large number of medical imaging features quantifying tumor
phenotypic characteristics. Highly accurate and reliable machine-learning approaches can …

This study aims at develo** a joint FDG-PET and MRI texture-based model for the early
evaluation of lung metastasis risk in soft-tissue sarcomas (STSs). We investigate if the …

Medical imaging can visualize characteristics of human cancer noninvasively. Radiomics is
an emerging field that translates these medical images into quantitative data to enable …

Quantitative analysis of tumour characteristics based on medical imaging is an emerging
field of research. In recent years, quantitative imaging features derived from CT, positron …

The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

FDG-PET-derived textural features describing intra-tumor heterogeneity are increasingly
investigated as imaging biomarkers. As part of the process of quantifying heterogeneity …