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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Yes, you can access Radiomics and Its Clinical Application by Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.

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Business Intelligence

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Computer Science

Title of Book
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

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Table of contents