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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| Formato: | livro electrónico |
| Idioma: | inglês |
| Publicado em: |
London, U.K. :
Academic Press,
[2025]
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| Acesso em linha: | ScienceDirect |
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MARC
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| 245 | 0 | 0 | |a Radiomics and radiogenomics in neuro-oncology : |b an artificial intelligence paradigm. |n Volume 2, |p Genetics and clinical applications / |c edited by Sanjay Saxena, Department of Computer Science & Engineering, International Institute of Information Technology, Bhubaneswar, Odisha, India; Jasjit S. Suri, Stroke Monitoring and Diagnostic Division, AtheroPoint LLC, Roseville, CA, United States. |
| 246 | 3 | 0 | |a Genetics and clinical applications |
| 264 | 1 | |a London, U.K. : |b Academic Press, |c [2025] | |
| 300 | |a 1 online resource | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Imaging signatures for brain cancer molecular characteristics. Chapter 1. Radiogenomics and genetic diversity of glioblastoma characterization -- Chapter 2. Machine and deep learning-based methods for genotype O(6)-methylguanine-DNA-methyltransferase status prediction -- Chapter 3. AI-based image signature for brain cancer molecular analysis -- Chapter 4. Imaging signatures for different mutation estimation for brain cancer -- Chapter 5. Software solutions for managing radiomics and radiogenomics in neuro-oncology clinical settings -- Section 2. Clinical applications of R-n-R in neuro-oncology. Chapter 6. Survival estimation of brain tumor patients using radiogenomics-based studies -- Chapter 7. Brain tumor progression analysis: a comprehensive review -- Chapter 8. Integrative data analysis of MGMT methylation and IDH1 mutation in glioblastoma: a comprehensive review -- Chapter 9. AI enabled R-n-R for neurooncology: clinical applications -- Section 3. AI in R-n-R for neuro-oncology: what have we achieved so far? Chapter 10. AI for application solutions for healthcare services using AI detection and diagnosis of different diseases: a special emphasis on neuro-oncology -- Chapter 11. Traditional and advanced AI methods used in the area of neuro-oncology -- Chapter 12. AI in radiomics and radiogenomics for neuro-oncology: achievements and challenges. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Brain |x Cancer |x Treatment. | |
| 650 | 0 | |a Radiogenetics |x Data processing. | |
| 650 | 0 | |a Brain |x Radiography |x Data processing. | |
| 650 | 0 | |a Artificial intelligence |x Medical applications. | |
| 650 | 0 | |a Brain |x Cancer |x Radiography. | |
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| 650 | 6 | |a Cerveau |0 (CaQQLa)201-0011417 |x Cancer |0 (CaQQLa)201-0011417 |x Traitement. |0 (CaQQLa)201-0377521 | |
| 650 | 6 | |a Radiogénétique |0 (CaQQLa)201-0016417 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Cerveau |0 (CaQQLa)201-0038797 |x Radiographie |0 (CaQQLa)201-0038797 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 7 | |a Artificial intelligence |x Medical applications |2 fast |0 (OCoLC)fst00817267 | |
| 650 | 7 | |a Brain |x Cancer |x Treatment |2 fast |0 (OCoLC)fst00837598 | |
| 650 | 7 | |a Brain |x Radiography |x Data processing |2 fast |0 (OCoLC)fst00837657 | |
| 700 | 1 | |a Saxena, Sanjay, |d 1986- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjJpd9bcYGBxGqJH77cpj3 | |
| 700 | 1 | |a Suri, Jasjit S., |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjFMRp4JyXXtTmJ8RjgPKm | |
| 776 | 0 | 8 | |i Print version: |z 0443185093 |z 9780443185090 |w (OCoLC)1390916083 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443185090 |