+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Methodology in Radiomics. Step-by-step Guide in Radiomics Pipeline

  • Book

  • September 2025
  • Elsevier Science and Technology
  • ID: 6057632
Methodology in Radiomics: Step-by-step Guide in Radiomics Pipeline is an essential resource for anyone interested in the rapidly evolving field of radiomics. This comprehensive guide delves into the history and fundamental principles of radiomics, providing readers with a clear understanding of how to implement each step in the radiomic pipeline. The book is designed to bridge the gap between radiomics research and clinical practice, making it an invaluable reference for imaging scientists, researchers, and medical professionals. The book not only covers the basics but also includes troubleshooting techniques to overcome common challenges.

It discusses current research and future directions, offering insights into the potential of radiomics in clinical settings. This guide ensures that readers are well-equipped to navigate the complexities of radiomics, fostering a deeper understanding of its applications and advances in medical imaging.

Table of Contents

1. Brief history and fundamentals of radiomics
2. Sourcing good data: from image acquisition to segmentation
3. Radiomics features: making order out of chaos
4. Standardization and quality assessment
5. From statistics to machine learning: principles of data analysis
6 Model validation
7. Deriving knowledge from different sources: radiomics and clinical data
8. Deep radiomics
9. The multi-omics breakthrough in the new age of data
10. The open chapter: radiomics applications in healthcare

Authors

Salvatore Claudio Fanni Senior Radiology Resident, Academic of Radiology and PhD Candidate in Clinical and Translational Sciences, University of Pisa, Italy.

Salvatore Claudio Fanni is a senior radiology resident of the Academic of Radiology and PhD student in Clinical and Translational Sciences at the University of Pisa. He has published several indexed articles and book chapters for international publishers. His work has been presented in national and international conferences held in Europe and the USA. His major research interests are quantitative imaging, with a particular focus on radiomics, and Artificial Intelligence and Natural Language Processing applications in Radiology. He is a member of the young club committee and the Radiomics auditing group of EuSoMII and collaborates with the Imaging Lab in Pisa on many EU projects.

Lorenzo Faggioni Assistant Professor, University of Pisa, Italy.

Lorenzo Faggioni currently works as Assistant Professor at the University of Pisa. He obtained his MD degree (2004), board certification in Diagnostic and Interventional Radiology (2008), PhD degree in "Health Technologies: evaluation and management of innovations in the biomedical field� (2011), and a Masters in Oncologic Imaging (2020) at the same University. He is a member of several international societies (ESR, ESOI, EuSoMII, RSNA), and has been appointed as president of the Italian Society of Medical and Interventional Radiology (SIRM) from 2021 to 2024. His main research interests include imaging informatics with a focus on artificial intelligence, radiomics, and structured reporting, oncologic and cardiovascular applications of CT and MRI, and optimization of CT acquisition protocols. To date he is author of more than 80 articles, more than 200 conference papers, and more than 20 book chapters covering his research topics.

Isabella Castiglioni Full Professor of Applied Physics, University of Milan-Bicocca and co-founder and Honorary President of DeepTrace Technologies, Italy. Isabella Castiglioni is a Full Professor of Applied Physics at the University of Milan-Bicocca, co-founder and Honorary President of the spin-off of the University Institute for Advanced Studies (Istituto Universitario di Studi Superiori) in Pavia, called DeepTrace Technologies. The startup has been internationally recognized for its work in the field of artificial intelligence (AI) applied to predictive and personalized medicine. In 2017, she was acknowledged as one of the "100 Women Against Stereotypes in Science." In 2021, she won the International Technovisionaries Award and was honored as one of the "50 Most Influential Women in AI in Europe" (Inspyring Fifty). She has an impressive record, including over 80 seminars at international conferences and schools, 180 scientific publications, and 7,000 citations. Emanuele Neri Full Professor of Radiology, Chair of Medicine Faculty, Chairman of the Radiology Department at Pisa University Hospital and Chair of the Post-Graduate School of Radiology and Faculty of Diagnostic Imaging, University of Pisa, Italy.

Emanuele Neri is Full Professor of Radiology, Chair of Medicine Faculty, Chairman of the Radiology Department at Pisa University Hospital and Chair of the Post-Graduate School of Radiology and Faculty of Diagnostic Imaging of the University of Pisa. He has published more than 170 papers and 6 books in the fields of imaging informatics, GI tract, as well as head and neck and oncologic imaging. He is a member of national and international societies in the field of radiology, President-elect of the European Society of Oncologic Imaging, leads the Imaging Laboratory of the University of Pisa, and is involved in several EU projects.