Comments on: A methodology for evaluation of boundary detection algorithms on medical images

Author

Alberola-Lopez, Carlos ; Martin-Fernandez, Marcos ; Ruiz-Alzola, J.

Author_Institution

ETSI Telecomunicacion, Univ. of Valladolid, Spain

Volume

23

Issue

5

fYear

2004

fDate

5/1/2004 12:00:00 AM

Firstpage

658

Lastpage

660

Abstract

In this paper we analyze a result previously published about a comparison between two statistical tests used for evaluation of boundary detection algorithms on medical images. We conclude that the statement made by Chalana and Kim (1997) about the performance of the percentage test has a weak theoretical foundation, and according to our results, is not correct. In addition, we propose a one-sided hypothesis test for which the acceptance region can be determined in advance, as opposed to the two-sided confidence intervals proposed in the original paper, which change according to the estimated quantity.

Keywords

edge detection; medical image processing; statistical analysis; boundary detection algorithms; medical images; one-sided hypothesis test; percentage test; Algorithm design and analysis; Biomedical imaging; Clouds; Detection algorithms; Image analysis; Medical tests; Optical computing; Statistical analysis; Telecommunication standards; Testing; Abdomen; Algorithms; Benchmarking; Diagnostic Imaging; Echocardiography; Endocardium; Humans; Image Interpretation, Computer-Assisted; Models, Statistical; Observer Variation; Pattern Recognition, Automated; Pericardium; Reproducibility of Results; Skull; Software Validation; Ultrasonography, Prenatal;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2004.826358

Filename

1295085