Titlebook: Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging; Patrick Veit-Haibach,Ken Herrmann Book 2022 The Editor(s)

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Book 2022ications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice..As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists

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Radiomics in Nuclear Medicine, Robustness, Reproducibility, and Standardizationconditions. However, radiomics parameters are for example influenced by the type of acquisition and reconstruction, the image processing and even the software being used for feature extraction. This chapter will give a short overview over the impact of each step along the radiomic evaluation pipelin

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The Basic Principles of Machine Learningt of state-of-the-art methods for image reconstruction, enhancement, classification, and analysis..This chapter presents an overview of the operating principles of machine learning algorithms, starting with basic hardware and data requirements and then introducing methods of increasing complexity, f

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