A comparative study on medical image segmentation methods

Authors

  • Praylin Selva Blessy SELVARAJ ASSLEY Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Karungal, Kanyakumari, TamilNadu, India.
  • Helen Sulochana CHELLAKKON Department of Electronics and Communication Engineering,St.Xaviers’s Catholic College of Engineering, Nagercoil, Kanyakumari, TamilNadu, India.

Keywords:

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

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.

 

Author Biography

Praylin Selva Blessy SELVARAJ ASSLEY, Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Karungal, Kanyakumari, TamilNadu, India.

Assistant Professor,

Department of Electronics and Communication Engineering

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Published

31.03.2014

How to Cite

1.
SELVARAJ ASSLEY PSB, CHELLAKKON HS. A comparative study on medical image segmentation methods. Appl Med Inform [Internet]. 2014 Mar. 31 [cited 2024 Dec. 25];34(1):31-45. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/460

Issue

Vol. 34 No. 1 (2014)

Section

Articles

License

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.