A Gaussian Mixture Model based Level Set Method for Volume Segmentation in Medical Images
This thesis proposes a probabilistic level set method to be used in segmentation of tumors with heterogeneous intensities. It models the intensities of the tumor and surrounding tissue using Gaussian mixture models. Through a contour based initialization procedure samples are gathered to be used in...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Beräkningsmatematik
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148548 |