Current Methods in Medical Image Segmentation

Annual Review of Biomedical Engineering - Tập 2 Số 1 - Trang 315-337 - 2000
Dzung L. Pham1,2, Chenyang Xu3,2, Jerry L. Prince3,2
1Department of Electrical and Computer Engineering, Johns Hopkins University, Laboratory of Personality and Cognition, National Institute on Aging, Baltimore, Maryland, USA.
2Laboratory of Personality and Cognition, National Institute on Aging, Baltimore, Maryland 21224
3Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland, 21218

Tóm tắt

▪ 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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Annual Review of Biomedical Engineering

Tập 2 Số 1

315-337

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