Ruijiang Li – författare
Visar alla böcker från författaren Ruijiang Li. Handla med fri frakt och snabb leverans.
5 produkter
Radiomics and Radiogenomics
Technical Basis and Clinical Applications
Av Ruijiang Li, Lei Xing m. fl.
Häftad, 2021
846 kr
Lägg i varukorg
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains …
Radiomics and Radiogenomics
Technical Basis and Clinical Applications
Av Ruijiang Li, Lei Xing m. fl.
Inbunden, 2019
3904 kr
Lägg i varukorg
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains …
Radiomics and Radiogenomics
Technical Basis and Clinical Applications
Av Daniel L. Rubin, Sandy Napel m. fl.
E-bok, 2019
999 kr
Lägg i varukorg
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains …
Radiomics and Radiogenomics
Technical Basis and Clinical Applications
Av Daniel L. Rubin, Sandy Napel m. fl.
E-bok, 2019
977 kr
Lägg i varukorg
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains …
Machine Learning in Radiation Oncology
Theory and Applications
Av Martin J. Murphy, Ruijiang Li m. fl.
E-bok, 2015
1251 kr
Lägg i varukorg
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and …
