A comparative study on medical image segmentation methods

A comparative study on medical image segmentation methods

Blog Article

Image segmentation plays an important L-ARGINIME 750 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, Gift Card 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.