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Diagnostic Medical Image Processing (DMIP) 2011/2012 (SD 640)
Prof. Dr. Joachim Hornegger
29 episodes
5 months ago
This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools required to solve the considered image processing tasks will be introduced. The lecture will be composed of the following topics: Motivation: Introduction to Medical Image Processing Acquisition: Basic Concepts of Different Modalities Modality Dependent Image Enhancement Segmentation of Medical Images Image Sequences: Processing of Multiple Images Reconstruction in Medical Imaging Volume Processing Image Registration and Fusion Computer Aided Diagnosis
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Education
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All content for Diagnostic Medical Image Processing (DMIP) 2011/2012 (SD 640) is the property of Prof. Dr. Joachim Hornegger and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools required to solve the considered image processing tasks will be introduced. The lecture will be composed of the following topics: Motivation: Introduction to Medical Image Processing Acquisition: Basic Concepts of Different Modalities Modality Dependent Image Enhancement Segmentation of Medical Images Image Sequences: Processing of Multiple Images Reconstruction in Medical Imaging Volume Processing Image Registration and Fusion Computer Aided Diagnosis
Show more...
Education
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10 - Diagnostic Medical Image Processing (DMIP) 2011/2012
Diagnostic Medical Image Processing (DMIP) 2011/2012 (SD 640)
44 minutes 44 seconds
13 years ago
10 - Diagnostic Medical Image Processing (DMIP) 2011/2012
Diagnostic Medical Image Processing (DMIP) 2011/2012 (SD 640)
This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools required to solve the considered image processing tasks will be introduced. The lecture will be composed of the following topics: Motivation: Introduction to Medical Image Processing Acquisition: Basic Concepts of Different Modalities Modality Dependent Image Enhancement Segmentation of Medical Images Image Sequences: Processing of Multiple Images Reconstruction in Medical Imaging Volume Processing Image Registration and Fusion Computer Aided Diagnosis