C
URRENT M
ETHODS IN M
EDICAL I
MAGE S
EGMENTATION1Dzung L. Pham2,3, Chenyang Xu2, and Jerry L. Prince22Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland 21218; e-mail:
pham@jhu.edu ,
chenyang@jhu.edu ,
prince@jhu.edu .
3Laboratory of Personality and Cognition, National Institute on Aging, Baltimore, Maryland 21224
▪ Abstract
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 semiautomated 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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