Title :
Measuring and evaluating ground truth for boundary detection in medical images
Author :
Cheng, Irene ; Flores-Mir, Carlos ; Major, Paul ; Basu, Anup
Author_Institution :
Computer and Information Sciences Department, University of Pennsylvania, USA
Abstract :
In this paper we describe a methodology for measuring the ground truth for boundary detection methods in medical images. An interface is used to allow medical experts to outline boundaries of interest on images. Following this, the accuracy of the experts in repeating the ground truth detection process is evaluated. Finally, an approach is described for comparing the ground truth as provided by experts with actual boundaries detected automatically. Experimental results are presented to validate the proposed algorithms.
Keywords :
Biomedical imaging; Data visualization; Distortion measurement; Gravity; Image registration; Magnetic resonance imaging; Medical diagnostic imaging; Object detection; Skin; Ultrasonic imaging; Algorithms; Artificial Intelligence; Face; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650554
