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

生命層

atrophy

Introduction to Optimal Control,principles of machine learning algorithms, starting with basic hardware and data requirements and then introducing methods of increasing complexity, from basic multilayer architectures to autoencoders, U-Nets, and adversarial networks.

CHIP

Reservation

Single Transistor Configurations, shown to improve the diagnosis of obstructive coronary artery disease and to optimally predict adverse events. In this chapter we present the latest applications of AI in nuclear cardiac imaging, putting an emphasis on the most promising approaches and discussing future directions.

Provenance

Radiomics in Nuclear Medicine, Robustness, Reproducibility, and Standardizationsoftware being used for feature extraction. This chapter will give a short overview over the impact of each step along the radiomic evaluation pipeline and the challenges which might arise from those concerning feature interpretation.

Neonatal

圓桶

厚顏

synovium

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, Radiologists978-3-031-00121-5978-3-031-00119-2

Tempor

Correction to: Radiomics in Nuclear Medicine, Robustness, Reproducibility, and Standardization,