A comparative study on medical image segmentation methods

A comparative study on medical image segmentation methods

Blog Article

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 Grinders 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 Services five different categories with their principle ideas, advantages and disadvantages in segmenting different medical images are discussed.