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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.
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Dzung L. Pham
Chenyang Xu
Jerry L. Prince
Annual Review of Biomedical Engineering
National Institute on Aging
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Pham et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69dd5e2f3f27c4971e99b4b7 — DOI: https://doi.org/10.1146/annurev.bioeng.2.1.315