Methodology in Radiomics: Step-by-step Guide in Radiomics Pipeline
Editat de Salvatore Claudio Fanni, Lorenzo Faggioni, Isabella Castiglioni, Emanuele Nerien Limba Engleză Paperback – 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
Preț: 778.21 lei
Preț vechi: 855.17 lei
-9% Nou
Puncte Express: 1167
Preț estimativ în valută:
148.93€ • 154.91$ • 122.95£
148.93€ • 154.91$ • 122.95£
Carte nepublicată încă
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780443292422
ISBN-10: 0443292426
Pagini: 250
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
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
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