Radiomics and Radiogenomics
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"Despite an abundance of research papers and some review articles, there have not been many comprehensive books devoted to these special audiences. Two first‐edition books published in 2019 by the Taylor and Francis Group, Radiomics and Radiogenomics (edited by Ruijiang Li, Lei Xing, Sandy Napel, and Daniel L. Rubin) and Big Data in Radiation Oncology (edited by Jun Deng and Lei Xing), have opportunely filled this void, and provided a comprehensive review as well as valuable insights on these key new advances. .... From these two books, readers can gain a fundamental understanding of radiomic feature definition and computation, processing steps (such as voxel resampling, MRI field bias correction and normalization, and other data harmonization), and processing parameters (such as fixed bin size vs fixed bin number and voxel neighborhood size). Readers can also develop a deeper appreciation of proper data management in modeling from both texts. As such, the technical knowledge from the books can assist researchers in optimizing their own study design."
»
-Dandan Zheng, in the Journal of Applied Clinical Medical Physics, July 2020
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. Les mer
Features
Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics
Shows how they are improving diagnostic and prognostic decisions with greater efficacy
Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas
Covers applications in oncology and beyond, covering all major disease sites in separate chapters
Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation
Detaljer
- Forlag
- CRC Press Inc
- Innbinding
- Innbundet
- Språk
- Engelsk
- Sider
- 484
- ISBN
- 9780815375852
- Utgivelsesår
- 2019
- Format
- 25 x 18 cm
Anmeldelser
«
"Despite an abundance of research papers and some review articles, there have not been many comprehensive books devoted to these special audiences. Two first‐edition books published in 2019 by the Taylor and Francis Group, Radiomics and Radiogenomics (edited by Ruijiang Li, Lei Xing, Sandy Napel, and Daniel L. Rubin) and Big Data in Radiation Oncology (edited by Jun Deng and Lei Xing), have opportunely filled this void, and provided a comprehensive review as well as valuable insights on these key new advances. .... From these two books, readers can gain a fundamental understanding of radiomic feature definition and computation, processing steps (such as voxel resampling, MRI field bias correction and normalization, and other data harmonization), and processing parameters (such as fixed bin size vs fixed bin number and voxel neighborhood size). Readers can also develop a deeper appreciation of proper data management in modeling from both texts. As such, the technical knowledge from the books can assist researchers in optimizing their own study design."
»
-Dandan Zheng, in the Journal of Applied Clinical Medical Physics, July 2020