Inhoudsopgave:
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\u003cp\u003eThe 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.\u003c/p\u003e \u003cp\u003eIt 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.\u003c/p\u003e \u003cp\u003eThis 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.\u003c/p\u003e\u003cul\u003e \u003cli\u003eAn introduction to the concepts of radiomics\u003c/li\u003e \u003cli\u003eIn-depth presentation of the core technologies and methods\u003c/li\u003e \u003cli\u003eSummary of current radiomics research, perspective on the future of radiomics and the challenges ahead\u003c/li\u003e \u003cli\u003eAn introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms\u003c/li\u003e\u003c/ul\u003e |
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