Insights into radiomics: a comprehensive review for beginners.
Authors
Affiliations (5)
Affiliations (5)
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto, 10/A, 60126, Ancona, Italy.
- Department of Radiological Sciences - Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Via Conca, 71, 60126, Ancona, Italy.
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto, 10/A, 60126, Ancona, Italy. [email protected].
- Department of Radiological Sciences - Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria delle Marche", Via Conca, 71, 60126, Ancona, Italy. [email protected].
- School of Radiology, University Politecnica delle Marche, Via Tronto, 10/A, 60126, Ancona, Italy.
Abstract
Radiomics and artificial intelligence (AI) are rapidly evolving, significantly transforming the field of medical imaging. Despite their growing adoption, these technologies remain challenging to approach due to their technical complexity. This review serves as a practical guide for early-career radiologists and researchers seeking to integrate radiomics into their studies. It provides practical insights for clinical and research applications, addressing common challenges, limitations, and future directions in the field. This work offers a structured overview of the essential steps in the radiomics workflow, focusing on concrete aspects of each step, including indicative and practical examples. It covers the main steps such as dataset definition, image acquisition and preprocessing, segmentation, feature extraction and selection, and AI model training and validation. Different methods to be considered are discussed, accompanied by summary diagrams. This review equips readers with the knowledge necessary to approach radiomics and AI in medical imaging from a hands-on research perspective.