A review on the current segmentation algorithms for medical images

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Zhen Ma (Author) Other; João Manuel R. S. Tavares (Author) FEUP; R. M. Natal Jorge (Author) FEUP

Conference proceedings International

Title: Proceedings of the 1st International Conference on Imaging Theory and Applications (IMAGAPP)

Pages: 135-140

1st International Conference on Imaging Theory and Applications (IMAGAPP) Lisboa, Portugal 5-8 February 2009

Lisboa, Portugal, 5-8 February 2009

Indexing

ISI Proceedings

ISI Web of Knowledge - 36 Citations

Scopus - 87 Citations

INSPEC

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences > Engineering > Biomedical enginnering

Other information

Authenticus ID: P-003-QHM

Abstract (EN): This paper makes a review on the current segmentation algorithms used for medical images. Algorithms are divided into three categories according to their main ideas: the ones based on threshold, the ones based on pattern recognition techniques and the ones based on deformable models. The main tendency of each category with their principle ideas, application field, advantages and disadvantages are discussed. For each considered type some typical algorithms are described. Algorithms of the third category are mainly focused because of the intensive investigation on deformable models in the recent years. Possible applications of these algorithms on segmenting organs and tissues contained in the pelvic cavity are also discussed through several preliminary experiments.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6