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Characterization of discrepancies between manual and automatic segmentation to improve anatomical brain atlases


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/68402

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Title: Characterization of discrepancies between manual and automatic segmentation to improve anatomical brain atlases
Authors: Sörensson, Anna
Issue Date: 10-May-2021
Degree: Student essay
Keywords: Medical physics
Anatomical brain atlas
Image segmentation
Image registration
Abstract: Purpose: To characterize discrepancies between expert manually segmented brain images from Hammers Atlas Database and automatically generated segmentations of the same images; to decide whether they can be attributed to flaws in the automatic segmentation or in the manual segmentation; and to determine general rules that enable these decisions. Theory: Image segmentation plays an important role in clinical neuroscience and experimental medicine for extraction of information from medica... more
URI: http://hdl.handle.net/2077/68402
Appears in Collections:Masteruppsatser / Medicinsk strålningsvetenskap

 

 

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