Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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The mathematical and statistical basics +
Methods of theoretical informatics/computer science, e.g. complexity theory, encryption/security. +
Theorems and approaches based on fundamental knowledge (e.g., analysis, logic, numerical mathematics, probability theory and statistics, cryptography) essential for BMHI (Biomedical and Health Informatics) +
Biomedical image and signal processing +
Basic terms and methods of biomedical imaging and signal processing +
Basic terms and methods of imaging +
Examples of medical biosignals as well as filtering methods for biosignals and basic principles of processing biosignal and image data using (deep) neural networks (Deep Learning, CNN - Convolutronal Neural Networks). +
Examples of medical images and their properties +
Basic image processing methods (e.g. edge filter, median filter, Fast Fourier Transform (FFT)) +
The registration and segmentation of medical images +
Different visualization methods, their properties and peculiarities (artifacts) +
Application fields of image and signal processing +
Biomedical Modelling and Simulation +
Fundamentals of practical computer science for image and signal processing e.g. programming languages, software engineering. +
Fundamentals of technical computer science for image and signal processing e.g. telecommunications, wireless data transmission technologies, virtual reality, multimedia. +
Important standards of medical informatics e.g. DICOM +
Application scenarios for telemedical applications and their framework conditions +
Fundamentals of data mining and data analysis of primary and secondary data sources, principles of data mining, data warehouses (data sharing), knowledge management. +
Basics of data mining and data analysis of primary and secondary data sources, principles of data mining, data warehouses, knowledge management , (FAIR principles) - ideally on real conditions. +
Queries on common databases +