RANDOM WALK-BASED AUTOMATED SEGMENTATION FOR THE PROGNOSIS OF MALIGNANT PLEURAL MESOTHELIOMA
In this paper we apply the random walk-based segmentation method to mesothelioma CT image datasets, aiming to establish an automatic segmentation routine that can provide volumetric assessments for monitoring progression of the disease and its treatments. We have validated the applicability of this...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2011
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