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

Editat de Salvatore Claudio Fanni, Lorenzo Faggioni, Isabella Castiglioni, Emanuele Neri
en Limba Engleză Paperback – aug 2025
Radiomics, a quantitative approach to medical imaging, augments existing data through advanced mathematical analysis and has the potential to enhance clinical decision-making. Methodology in Radiomics: Step-by-step Guide in Radiomics Pipeline provides foundational information on the history, step-by step methodology, and data interpretation in radiomics and is designed to bridge the gap between radiomics and clinical practice. The book covers the fundamentals of radiomics, fully describes how to complete each step in the radiomic pipeline, includes trouble-shooting techniques, and discusses current radiomics research, future direction, and challenges that lie ahead in this advancing field. This book is a fundamental reference for audiences including imaging scientists, researchers, as well as medical professionals seeking to better understand radiomics and its potential in clinical practice.

  • 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 application in healthcare and future directions in research
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Specificații

ISBN-13: 9780443292422
ISBN-10: 0443292426
Pagini: 250
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Cuprins

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