Radiomics and Radiogenomics in Neuro-Oncology
eBook - ePub

Radiomics and Radiogenomics in Neuro-Oncology

An Artificial Intelligence Paradigm – Volume 2: Genetics and Clinical Applications

  1. 622 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Radiomics and Radiogenomics in Neuro-Oncology

An Artificial Intelligence Paradigm – Volume 2: Genetics and Clinical Applications

About this book

Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm—Volume 2: Genetics and Clinical Applications provides readers with a broad and detailed framework for radiomics and radiogenomics (R-n-R) approaches with AI in neuro-oncology. It delves into the study of cancer biology and genomics, presenting methods and techniques for analyzing these elements. The book also highlights current solutions that R-n-R can offer for personalized patient treatments, as well as discusses the limitations and future prospects of AI technologies.Volume 1: Radiogenomics Flow Using Artificial Intelligence covers the genomics and molecular study of brain cancer, medical imaging modalities and their analysis in neuro-oncology, and the development of prognostic and predictive models using radiomics.Volume 2: Genetics and Clinical Applications extends the discussion to imaging signatures that correlate with molecular characteristics of brain cancer, clinical applications of R-n-R in neuro-oncology, and the use of Machine Learning and Deep Learning approaches for R-n-R in neuro-oncology. - Includes coverage of foundational concepts of the emerging fields of Radiomics and Radiogenomics - Covers imaging signatures for brain cancer molecular characteristics, including Isocitrate Dehydrogenase Mutations (IDH), TP53 Mutations, ATRX loss, MGMT gene, Epidermal Growth Factor Receptor (EGFR), and other mutations - Presents clinical applications of R-n-R in neuro-oncology such as risk stratification, survival prediction, heterogeneity analysis, as well as early and accurate prognosis - Provides in-depth technical coverage of radiogenomics studies for difference brain cancer types, including glioblastoma, astrocytoma, CNS lymphoma, meningioma, acoustic neuroma, and hemangioblastoma

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Yes, you can access Radiomics and Radiogenomics in Neuro-Oncology by Sanjay Saxena,Jasjit Suri,Jasjit S. Suri in PDF and/or ePUB format, as well as other popular books in Scienze biologiche & Neuroscienza. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2024
eBook ISBN
9780443185106
Edition
0
Topic
Scienze biologiche
Subtopic
Neuroscienza

Table of contents

  1. Radiomics and Radiogenomics in Neuro-Oncology
  2. Chapter 1 Radiogenomics and genetic diversity of glioblastoma characterization
  3. Chapter 2 Machine and deep learning-based methods for genotype O(6)-methylguanine-DNA-methyltransferase status prediction
  4. Chapter 3 AI-based image signature for brain cancer molecular analysis
  5. Chapter 4 Imaging signatures for different mutation estimation for brain cancer
  6. Chapter 5 Software solutions for managing radiomics and radiogenomics in neuro-oncology clinical settings
  7. Chapter 6 Survival estimation of brain tumor patients using radiogenomics-based studies
  8. Chapter 7 Brain tumor progression analysis: A comprehensive review
  9. Chapter 8 Integrative data analysis of MGMT methylation and IDH1 mutation in glioblastoma: A comprehensive review
  10. Chapter 9 AI enabled R-n-R for neurooncology: Clinical applications
  11. Chapter 10 AI for application solutions for healthcare services using AI detection and diagnosis of different diseases: A special emphasis on neuro-oncology
  12. Chapter 11 Traditional and advanced AI methods used in the area of neuro-oncology
  13. Chapter 12 AI in radiomics and radiogenomics for neuro-oncology: Achievements and challenges
  14. Index