The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Techniques for Medical Image Segmentation: Review of the Most Popular Approaches
Abstract
This chapter contains a survey of the most popular techniques for medical image segmentation that have been gaining attention of the researchers and medical practitioners since the early 1980s until present time. Those methods are presented in chronological order along with their most important features, examples of the results that they can bring and examples of application. They are also grouped into three generations, each of them representing a significant evolution in terms of algorithms’ novelty and obtainable results compared to the previous one. This survey helps to understand what have been the main ideas standing behind respective segmentation methods and how were they limited by the available technology. In the following part of this chapter several of promising, recent methods are evaluated and compared based on a selection of important features. Together with the survey from the first section this serves to show which are the directions currently taken by researchers and which of them have the potential to be successful.
Related Content
|
Julia Zimmer, Elisa Degenkolbe, Britt Wildemann, Petra Seemann.
© 2013.
30 pages.
|
|
George I. Lambrou, Maria Adamaki, Apostolos Zaravinos.
© 2013.
22 pages.
|
|
Svetoslav Nikolov, Mukhtar Ullah, Momchil Nenov, Julio Vera Gonzalez, Peter Raasch, Olaf Wolkenhauer.
© 2013.
23 pages.
|
|
Ana M. Sotoca, Michael Weber, Everardus J. J. van Zoelen.
© 2013.
19 pages.
|
|
Franz Ricklefs, Sonja Schrepfer.
© 2013.
16 pages.
|
|
Sonja Schallenberg, Cathleen Petzold, Julia Riewaldt, Karsten Kretschmer.
© 2013.
25 pages.
|
|
Ali Mobasheri.
© 2013.
32 pages.
|
|
|