Radiomics and its clinical application : artificial intelligence and medical big data
著者
書誌事項
Radiomics and its clinical application : artificial intelligence and medical big data
(The elsevier and miccai society book series)
Academic Press, c2022
- : pbk
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注記
Other authors: Di Dong, Zhenyu Liu, Jingwei Wei
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
1. Introduction2. Key technologies and software platforms for radiomics3. Precision diagnosis based on radiomics4. Treatment evaluation and prognosis prediction using radiomics in clinical practice5. Summary and prospects
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