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Radiomics and Radiogenomics in Neuro-Oncology

About Radiomics and Radiogenomics in Neuro-Oncology

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.

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  • Language:
  • English
  • ISBN:
  • 9780443185090
  • Binding:
  • Paperback
  • Pages:
  • 622
  • Published:
  • December 31, 2024
  • Dimensions:
  • 215x0x278 mm.
Delivery: 10-20 businessdays after publication
Expected delivery: January 23, 2025
Extended return policy to January 30, 2025

Description of Radiomics and Radiogenomics in Neuro-Oncology

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.

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