Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm - Volume 2: Genetics and Clinical Applications

By Sanjay Saxena and Jasjit Suri PhD MBA FIEEE FAMIBE FAIUM FSVM FAPVS

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.

• Format: Paperback
• Language: English
• ISBN: 0443185093
• ISBN13: 9780443185090
• Release Date: October 2024
• Publisher: Academic Press
• Length: 358 Pages
• Weight: 1.19 lbs.
• Dimensions: 0.8" x 5.9" x 9.0"