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  • 1
    UID:
    (DE-627)1885125909
    Format: 1 online resource (330 pages)
    Edition: 1st ed.
    ISBN: 9780443185076
    Content: Intro -- Radiomics and Radiogenomics in Neuro-Oncology -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- Acknowledgments -- Section 1: Introduction -- Chapter 1: Fundamentals pipelines of radiomics and radiogenomics (R-n-R) -- 1.1. Introduction -- 1.2. Pipeline of radiomics -- 1.2.1. Image acquisition -- 1.2.2. Image preprocessing -- 1.2.3. Tumor detection and segmentation using region of interest (ROI) -- 1.2.4. Conventional or deep learning-based feature extraction -- 1.2.5. Feature selection -- 1.2.6. Predictive models -- 1.2.6.1. Statistical analysis -- 1.2.6.2. Machine learning -- 1.2.6.3. Deep learning -- 1.2.7. Evaluation and diagnosis -- 1.3. Pipeline of radiogenomics -- 1.3.1. Tissue extraction and gene sequence -- 1.3.2. Data preprocessing -- 1.3.3. Association of radiomics and genomics -- 1.3.4. Correlation analysis and prediction -- 1.3.5. Outcomes -- 1.4. Discussion and conclusion -- References -- Chapter 2: Artificial intelligence, its components, and crucial technologies for its implementation -- 2.1. Introduction -- 2.1.1. Examples of AI usage in the medical domain -- 2.2. Advances in disease management with AI algorithms -- 2.3. State-of-the-art algorithms -- 2.4. Challenges in AI implementation for medical imaging -- 2.5. Strategies for overcoming hurdles to implementing AI in disease management -- 2.6. Recent scope of developments for AI in medicine -- 2.7. AI beyond classical learning -- 2.8. Challenges of AI for the future -- 2.9. Conclusion -- 2.10. Final say -- References -- Chapter 3: Radiomics and radiogenomics with artificial intelligence: Approaches, applications, advances, current challeng ... -- 3.1. Introduction -- 3.2. Overview of radiomics and radiogenomics -- 3.3. Radiogenomics -- 3.3.1. Neurooncology -- 3.3.2. Coronary heart disease -- 3.3.3. Cancer liver metastases (CRLM).
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: 9780443185083
    Additional Edition: Erscheint auch als Druck-Ausgabe 9780443185083
    Language: English
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