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Methodology in Radiomics

Step-by-step Guide in Radiomics Pipeline

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2025
ISBN13: 9780443292422
Rubricering
Elsevier Science e druk, 2025 9780443292422
€ 185,79
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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.

Specificaties

ISBN13:9780443292422
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

1. Brief history and fundamentals of radiomics<br>Salvatore Claudio Fanni<br>2.Sourcing good data: from image acquisition to segmentation<br>Alessandra Borgheresi, Francesco Mariotti and Andrea Agostini<br>3. Radiomics features: making order out of chaos<br>Andrea Barucci, Marco Giannelli, Alessia Giuliano, Daniela Marfisi, Fabrizio Argenti and Giulia Ciacci<br>4. Standardization and quality assessment<br>Elisavet Kapetanou, Matthaios Triantafyllou and Michail E. Klontzas<br>5. From statistics to machine learning: principles of data analysis<br>Piernicola Oliva, Maria Evelina Fantacci and Alessandra Retico<br>6. Model validation<br>Renato Cuocolo, Arnaldo Stanzione, Andrea Ponsiglione, Lorenzo Ugga and Burak Kocak<br>7. Deriving knowledge from different sources: radiomics and clinical data<br>Francesca Pia Caputo and Emanuele Neri<br>8. Deep radiomics<br>Valentina Giannini<br>9. The multiomics breakthrough in the new age of data<br>Ana Jimenez-Pastor and Alejandro Vergara-Richart<br>10.The open chapter: applications in healthcare—oncologic applications<br>Vincenza Granata, Marta Zerunian, Roberta Fusco, Damiano Caruso and Andrea Laghi<br>11. The open chapter: applications in healthcare—cardiac imaging applications<br>Márton Kolossváry and Nicola Galea<br>12. The open chapter: applications in healthcare – neuroradiology applications<br>Gennaro D&rsquo;Anna and Lorenzo Ugga
€ 185,79
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        Methodology in Radiomics