Academic Commons

Articles

A framework for evaluating image segmentation algorithms

Udupa, Jayaram K.; LeBlanc, Vicki R.; Zhuge, Ying; Imielinska, Celina Z.; Schmidt, Hilary; Currie, Leanne M.; Hirsch, Bruce E.; Woodburn, James

The purpose of this paper is to describe a framework for evaluating image segmentation algorithms. Image segmentation consists of object recognition and delineation. For evaluating segmentation methods, three factors—precision (reliability), accuracy (validity), and efficiency (viability)—need to be considered for both recognition and delineation. To assess precision, we need to choose a figure of merit, repeat segmentation considering all sources of variation, and determine variations in figure of merit via statistical analysis. It is impossible usually to establish true segmentation. Hence, to assess accuracy, we need to choose a surrogate of true segmentation and proceed as for precision. In determining accuracy, it may be important to consider different 'landmark' areas of the structure to be segmented depending on the application. To assess efficiency, both the computational and the user time required for algorithm training and for algorithm execution should be measured and analyzed. Precision, accuracy, and efficiency factors have an influence on one another. It is difficult to improve one factor without affecting others. Segmentation methods must be compared based on all three factors, as illustrated in an example wherein two methods are compared in a particular application domain. The weight given to each factor depends on application.

Files

  • thumnail for j.compmedimag.2005.12.001.pdf j.compmedimag.2005.12.001.pdf application/pdf 454 KB Download File

Also Published In

Title
Computerized Medical Imaging and Graphics
DOI
https://doi.org/10.1016/j.compmedimag.2005.12.001

More About This Work

Academic Units
Radiation Oncology
Published Here
August 13, 2012
Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.