Methodology in Radiomics

Step-By-Step Guide in Radiomics Pipeline
Erscheinungsjahr 2025
ISBN: 978-0-443-29242-2
Verlag: Elsevier Science

Buch, Englisch, 250 Seiten, Format (B × H): 191 mm x 235 mm

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.

Autoren/Hrsg.

Fanni, Salvatore Claudio

Faggioni, Lorenzo

Castiglioni, Isabella

Neri, Emanuele

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

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

Über Autor(innen)

Fanni, Salvatore Claudio
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.

Castiglioni, Isabella
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.

Neri, Emanuele
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.