Radiomics and Radiogenomics in Neuro-Oncology

An Artificial Intelligence Paradigm Ä¼ Volume 2: Genetics and Clinical A

By: Sanjay Saxena, Jasjit Suri

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Paperback | 15 October 2024 | Edition Number 1

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622 Pages

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22.9 x 15.2

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Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm - Volume Two: Genetics and Clinical Applications provides readers with a broad and detailed framework for R-n-R approaches with AI in neuro-oncology, the description of cancer biology and genomics study of cancer, and the methods usually implemented for analyzing. Readers will also learn about the current solutions R-n-R can offer for personalized treatments of patients, limitations, and prospects. There is comprehensive coverage of information based on radiomics, radiogenomics, cancer biology, and medical image analysis viewpoints on neuro-oncology. Neuro-oncology broadly encompasses life-threatening brain and spinal cord malignancies, including primary lesions and lesions metastasizing to the central nervous system. It is well suited for diagnosis, classification, and prognosis as well as assessing treatment response. Radiomics and Radiogenomics (R-n-R) have become two central pillars in precision medicine for neuro-oncology. Radiomics is an approach to medical imaging used to extract many quantitative imaging features using different data characterization algorithms, while Radiogenomics, which has recently emerged as a novel mechanism in neuro-oncology research, focuses on the relationship of imaging phenotype and genetics of cancer.

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