A comparative study on medical image segmentation methods
Keywords:
medical images, image segmentation, Deformable models, brain image, retinal image, cardiac imageAbstract
Image segmentation plays an important role in medical images. It has been a relevant research area in computer vision and image analysis. Many segmentation algorithms have been proposed for medical images. This paper makes a review on segmentation methods for medical images. In this survey, segmentation methods are divided into five categories: region based, boundary based, model based, hybrid based and atlas based. The five different categories with their principle ideas, advantages and disadvantages in segmenting different medical images are discussed.
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Published
31.03.2014
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SELVARAJ ASSLEY PSB, CHELLAKKON HS. A comparative study on medical image segmentation methods. Appl Med Inform [Internet]. 2014 Mar. 31 [cited 2024 Nov. 13];34(1):31-45. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/460
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All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.