3.9 Article

A Survey on Medical Image Segmentation

Journal

CURRENT MEDICAL IMAGING
Volume 11, Issue 1, Pages 3-14

Publisher

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/157340561101150423103441

Keywords

Medical image segmentation; Modalities; Classifiers; Clustering; thresholding; Markov random field; Atlas guided methods; Bayesian method; Neural networks; Region growing; Deformable models

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Much work has been done in the field of Image segmentation but still there is a room for improvement. Medical image segmentation is a sub field of image segmentation in digital image processing that has many important applications in the prospect of medical image analysis and diagnostics. Here in this paper different approaches of medical image segmentation will be classified along with their sub fields and sub methods. Recent techniques proposed in each category will also be discussed followed by a comparison of these methods.

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