Monitoring slowly evolving tumors
- 1 May 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE International Symposium on Biomedical Imaging
- Vol. 2008, 812-815
- https://doi.org/10.1109/isbi.2008.4541120
Abstract
Change detection is a critical task in the diagnosis of many slowly evolving pathologies. This paper describes an approach that semi-automatically performs this task using longitudinal medical images. We are specifically interested in meningiomas, which experts often find difficult to monitor as the tumor evolution can be obscured by image artifacts. We test the method on synthetic data with known tumor growth as well as ten clinical data sets. We show that the results of our approach highly correlate with expert findings but seem to be less impacted by inter- and intra-rater variability.Keywords
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