Medical image segmentation

Bing Song He, Feng Zhu, Yong Gang Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Medical image plays an important role in the assist doctors in the diagnosis and treatment of diseases. For the medical image, the further analysis and diagnosis of the target area is based on image segmentation. There are many different kinds of image segmentation algorithms. In this paper, image segmentation algorithms are divided into classical image segmentation algorithms and segmentation methods combined with certain mathematical tools, including threshold segmentation methods, image segmentation algorithms based on the edge, image segmentation algorithms based on the region, image segmentation algorithms based on artificial neural network technology, image segmentation algorithms based on contour model and image segmentation algorithm based on statistical major segmentation algorithm and so on. Finally, the development trend of medical image segmentation algorithms is discussed.

Original languageEnglish
Title of host publicationOptoelectronics Engineering and Information Technologies in Industry
Pages1590-1593
Number of pages4
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013 - Zhengzhou, Henan, China
Duration: 19 Oct 201320 Oct 2013

Publication series

NameAdvanced Materials Research
Volume760-762
ISSN (Print)1022-6680

Conference

Conference2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013
Country/TerritoryChina
CityZhengzhou, Henan
Period19/10/1320/10/13

Keywords

  • Image segmentation
  • Medical image

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