Abstract
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.
Keywords
- Ground Truth
- Segmentation Algorithm
- Domain Expert
- Human Expert
- Glandular Tissue
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Olsén, C., Georgsson, F. (2006). Assessing Ground Truth of Glandular Tissue. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_2
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DOI: https://doi.org/10.1007/11783237_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
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