A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

• Type: Another Publication in an International Scientific Journal
• Date: 2010

Authors

ma, z (Author) Other; tavares, jmrs (Author) FEUP; jorge, rn (Author) FEUP; mascarenhas, t (Author) FMUP

Journal

Title: Computer Methods in Biomechanics and Biomedical Engineering

Vol. 13 No. 2

Pages: 235-246

ISSN: 1025-5842

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 214 Citations

ISI Web of Science

Scopus - 252 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences

Other information

Authenticus ID: P-003-AG2

DOI: 10.1080/10255840903131878

Abstract (EN): This paper aims to make a review on the current segmentation algorithms used for medical images. Algorithms are classified according to their principal methodologies, namely the ones based on thresholds, the ones based on clustering techniques and the ones based on deformable models. The last type is focused on due to the intensive investigations into the deformable models that have been done in the last few decades. Typical algorithms of each type are discussed and the main ideas, application fields, advantages and disadvantages of each type are summarised. Experiments that apply these algorithms to segment the organs and tissues of the female pelvic cavity are presented to further illustrate their distinct characteristics. In the end, the main guidelines that should be considered for designing the segmentation algorithms of the pelvic cavity are proposed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12