Big Data in Radiation Oncology (Hardcover)

Basics. Big data in radiation oncology: opportunities and challenges. Data standardization and informatics in radiation oncology. Storage and database of big data. Techniques. Machine learning for radiation oncology. Cloud computing for big data. Statistical methods to identify patterns and interdependencies. Applications. Knowledge based treatment planning. Using big data to improve safety and quality in radiation oncology. Big data and comparative effectiveness research in radiation oncology. Cancer registries and big data exchange. Clinical challenges of big data in radiation oncology. Radiogenomics. Radiomics and quantitative imaging. Outlook. A learning health system for clinical decision support. A multi-parameterized model for early cancer prevention and detection