Methodology in Radiomics

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

Buch, Englisch, 248 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

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
Salvatore Claudio Fanni
2.Sourcing good data: from image acquisition to segmentation
Alessandra Borgheresi, Francesco Mariotti and Andrea Agostini
3. Radiomics features: making order out of chaos
Andrea Barucci, Marco Giannelli, Alessia Giuliano, Daniela Marfisi, Fabrizio Argenti and Giulia Ciacci
4. Standardization and quality assessment
Elisavet Kapetanou, Matthaios Triantafyllou and Michail E. Klontzas
5. From statistics to machine learning: principles of data analysis
Piernicola Oliva, Maria Evelina Fantacci and Alessandra Retico
6. Model validation
Renato Cuocolo, Arnaldo Stanzione, Andrea Ponsiglione, Lorenzo Ugga and Burak Kocak
7. Deriving knowledge from different sources: radiomics and clinical data
Francesca Pia Caputo and Emanuele Neri
8. Deep radiomics
Valentina Giannini
9. The multiomics breakthrough in the new age of data
Ana Jimenez-Pastor and Alejandro Vergara-Richart
10.The open chapter: applications in healthcare-oncologic applications
Vincenza Granata, Marta Zerunian, Roberta Fusco, Damiano Caruso and Andrea Laghi
11. The open chapter: applications in healthcare-cardiac imaging applications
Márton Kolossváry and Nicola Galea
12. The open chapter: applications in healthcare - neuroradiology applications
Gennaro D’Anna and Lorenzo Ugga

Über Autor(innen)

Faggioni, Lorenzo
Lorenzo Faggioni currently works as Associate Professor of Radiology at the University of Pisa. He obtained his MD degree (2004), the board certification in Diagnostic and Interventional Radiology (2008), the PhD degree in 'Health Technologies: evaluation and management of innovations in the biomedical field' (2011), and the Master in Oncologic Imaging (2020) at the same University. He is member of several international societies (ESR, ESOI, EuSoMII, RSNA) and past-president of the Imaging Informatics Council of the Italian Society of Medical and Interventional Radiology (SIRM). His main research interests include imaging informatics (with a special focus on artificial intelligence, radiomics and structured reporting), oncologic and cardiovascular applications of CT and MRI, and optimisation of CT acquisition protocols. To date he is author of more than 100 articles published in indexed journals, more than 200 conference papers and more than 20 book chapters.

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, past president of the European Society of Oncologic Imaging, leads the Imaging Laboratory of the University of Pisa, and is involved in several 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.

Fanni, Salvatore Claudio
Salvatore Claudio Fanni is a young radiologist and PhD candidate in Clinical and Translational Sciences at the University of Pisa. He has published several indexed articles and book chapters for international publishers and also edited a book about artificial intelligence. His work has been presented at 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 scientific committee and the Radiomics auditing group of EuSoMII, of the young radiologist committee of ESOI and collaborates with the Imaging Lab in Pisa on many EU projects.