Title :
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
fDate :
5/1/2004 12:00:00 AM
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;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2004.826358
