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Current methods in medical image segmentation
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DOI：10.1146/annurev.bioeng.2.1.315.png)
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Image segmentation plays a crucial role in many medical-imaging applications, by automating or facilitating the delineation of anatomical structures and other regions of interest. We present a critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images. Terminology and important issues in image segmentation are first presented. Current segmentation approaches are then reviewed with an emphasis on the advantages and disadvantages of these methods for medical imaging applications. We conclude with a discussion on the future of image segmentation methods in biomedical research.
Keyword:
medical imaging
image processing
classification
deformable models
magnetic resonance imaging
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论文数:
482
被引数:
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