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...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
London, U.K. :
Academic Press,
[2025]
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. This volume 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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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780443185106 0443185107 |