Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Bounds on the mean classification error rate of multiple experts
Pattern Recognition Letters
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Problems related to automatic nipple extraction
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Automatic segmentation of fibroglandular tissue
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
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In medical image analysis a ground truth to compare results against is of vital importance. This ground truth is often obtained from human experts. The aim of this paper is to discuss the problem related to the use of markings made by an expert panel. As a partial solution, we propose a method to relate markings to each other in order to establish levels of agreement. By using this method we can assess the performance of, for instance, segmentation algorithms.