Radiomics and Its Clinical Application
Artificial Intelligence and Medical Big Data
- 300 pages
- English
- ePUB (mobile friendly)
- Only available on web
Radiomics and Its Clinical Application
Artificial Intelligence and Medical Big Data
About This Book
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 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
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Table of contents
- Cover image
- Title page
- Table of Contents
- The Elsevier and Miccai Society Book Series
- Copyright
- Biographies
- Preface
- Chapter 1. Introduction
- Chapter 2. Key technologies and software platforms for radiomics
- Chapter 3. Precision diagnosis based on radiomics
- Chapter 4. Treatment evaluation and prognosis prediction using radiomics in clinical practice
- Chapter 5. Summary and prospects
- Index