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Erasmus+
Introduction to Tomography
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Tomography lecture 7.4. Session 1
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Tomography lecture 7.4. Session 2
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Tomography lecture 7.5. Session 1
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Tomography lecture 7.5. Session 2
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Tomography lecture 7.6.
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Tomography lecture 7.7
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Tomography lecture 7.8. Session 1
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Tomography lecture 7.8. Session 2
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Tomography lecture 7.8. Session 3
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Tomography lecture 7.8. Session 4
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Tomography lecture 7.8. Session 5
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Individual project work
Individual project work
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Project work
Assignment
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Mathetmatical preliminaries and examples
Mathematical preliminaries and examples
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Steps of Gaussian elimination - Example 1 Section 3.2
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Fourier's method for linear programming
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Computerized tomography
Chapter 1 - Introduction
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Chapter 2 - An overview of the process of CT
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Chapter 3 - Physical problems associated with CT
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Chapter 4 - Computer simulation of data collection in CT
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Chapter 6 - Basic concepts of reconstruction algorithms
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Chapter 11 - Algebraic reconstruction techniques
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Discrete Tomography
Discrete tomography overview - reconstruction of binary matrices
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Algebraic aspects of discrete tomography
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Graphs
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Network flow algorithm for discrete tomography
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Exercises
Exercises
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Debreceni Egyetem
https://tovabbkepzes.unideb.hu
Kapcsolat:
elearning@metk.unideb.hu
