
Radiomics and Its Clinical Application
Artificial Intelligence and Medical Big Data
- 1st Edition - June 3, 2021
- Imprint: Academic Press
- Authors: Jie Tian, Di Dong, Zhenyu Liu, Jingwei Wei
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 8 1 0 1 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 8 1 0 2 - 7
The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest te… Read more

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Request a sales quoteThe rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field.
It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting.
This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.
- An introduction to the concepts of radiomics
- In-depth presentation of the core technologies and methods
- Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead
- An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms
- Cover image
- Title page
- Table of Contents
- The Elsevier and Miccai Society Book Series
- Copyright
- Biographies
- Preface
- Chapter 1. Introduction
- 1.1. Background of medical image analysis in cancer
- 1.2. Multidimensional complexity of biomedical research
- 1.3. Concept of radiomics
- 1.4. Value of radiomics
- 1.5. Workflow of radiomics
- 1.6. Prospect of clinical application of radiomics
- Chapter 2. Key technologies and software platforms for radiomics
- 2.1. Tumor detection
- 2.2. Tumor segmentation
- 2.3. Feature extraction
- 2.4. Feature selection and dimension reduction
- 2.5. Model building
- 2.6. Radiomics quality assessment system
- 2.7. Radiomics software platform
- Chapter 3. Precision diagnosis based on radiomics
- 3.1. Application of radiomics in cancer screening
- 3.2. Application of radiomics in cancer staging
- 3.3. Application of radiomics in histopathological diagnosis of cancer
- 3.4. Application of radiomics in prediction of cancer gene mutation and molecular subtype
- 3.5. Application of radiomics in other diseases
- Chapter 4. Treatment evaluation and prognosis prediction using radiomics in clinical practice
- 4.1. Radiomics and its application in treatment evaluation
- 4.2. Radiomics-based prognosis analysis
- Chapter 5. Summary and prospects
- 5.1. Summary
- 5.2. Prospect
- 5.3. Conclusion
- Index
- Edition: 1
- Published: June 3, 2021
- Imprint: Academic Press
- No. of pages: 300
- Language: English
- Paperback ISBN: 9780128181010
- eBook ISBN: 9780128181027
JT
Jie Tian
DD
Di Dong
ZL
Zhenyu Liu
JW