Machine learning approaches for structure analysis in medical image data

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Author
Schüffler, Peter J.
Date
2014
Type
    Doctoral Thesis
Rights / license
In Copyright - Non-Commercial Use Permitted
Permanent link
https://doi.org/10.3929/ethz-a-010189014
Publication status
published
External links
Search print copy at ETH Library
Contributors
Examiner: Moch, Holger
Examiner: Buhmann, Joachim M.
Publisher
ETH-Zürich
Subject
NUCLEAR MAGNETIC RESONANCE IMAGING + NUCLEAR MAGNETIC RESONANCE TOMOGRAPHY (MEDICAL DIAGNOSTICS); PATTERN RECOGNITION (ARTIFICIAL INTELLIGENCE); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); DIGITALE BILDVERARBEITUNG; MUSTERERKENNUNG (KÜNSTLICHE INTELLIGENZ); PATTERN RECOGNITION + IMAGE RECOGNITION (MATHEMATICAL IMAGE PROCESSING); DIGITAL IMAGE PROCESSING; KERNSPINRESONANZ-ABBILDUNGSVERFAHREN + KERNSPINRESONANZ-TOMOGRAPHIE (MEDIZINISCHE DIAGNOSTIK); MUSTERERKENNUNG + BILDERKENNUNG (MATHEMATISCHE BILDVERARBEITUNG); CANCER DIAGNOSTICS (MEDICINE); KREBSDIAGNOSTIK + TUMORDIAGNOSTIK (MEDIZIN)
Organisational unit
03659 - Buhmann, Joachim M. / Buhmann, Joachim M.  
02150 - Dep. Informatik / Dep. of Computer Science
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