Abstract
The Definiens Cognition Network Technology is applied to detect automatically tumors in a human liver. On the basis of a test data set containing ten tumors we show first quantitative results which are compared to manual segmentations provided by medical experts.
Keywords
Source Code and Data
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Reviews
Xiang Deng
Friday 25 July 2008
This paper presents an automatic live tumor segmentation technique.
This technique is composed of two steps.
First, the liver is segmented using a heuristic thresholding method. Second, the tumors are segmented using a multi-thresholding algorithm.
Detailed comments:
1) The authors should provide more details of the liver and liver tumor segmentation algorithms. From my point of view, this is the core part of the workshop paper, which has only been briefly described in the manuscript.
2) Fig. 3 is not referenced in the manuscript.
3) Could the authors speculate on the main reason that causes the over-segmentation in the results?