Methodology in Radiomics: Step-by-step Guide in Radiomics Pipeline
Editat de Salvatore Claudio Fanni, Lorenzo Faggioni, Isabella Castiglioni, Emanuele Nerien Limba Engleză Paperback – 23 sep 2025
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.
- Provides a complete overview of the history and fundamentals of radiomics
- Includes step-by step guidance for designing a high-quality radiomic study
- Offers comprehensive information necessary for the interpretation of radiomic studies’ methodology and results
- Reviews radiomics applications in healthcare and future directions in research
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Specificații
ISBN-13: 9780443292422
ISBN-10: 0443292426
Pagini: 248
Dimensiuni: 191 x 235 x 16 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443292426
Pagini: 248
Dimensiuni: 191 x 235 x 16 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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