A comparative study on medical image segmentation methods

Praylin Selva Blessy SELVARAJ ASSLEY, Helen Sulochana CHELLAKKON

Abstract


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.

 


Keywords


medical images; image segmentation; Deformable models; brain image; retinal image; cardiac image

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Appl Med Inform is published since 1995.