Article ID Journal Published Year Pages File Type
870814 IRBM 2014 7 Pages PDF
Abstract

We describe a semi-supervised organ segmentation method for Computed Tomography images. In a first step, a dense oversegmentation of the image is created with an Eikonal-based algorithm. The proposed superpixel algorithm ourperforms state-of-the-art algorithms on classical metrics. In a second step, the semi-supervised segmentation is performed on the underlying Region Adjacency Graph created from the oversegmentation. As the complexity is greatly reduced, the organ segmentation can be performed in real-time.

Related Topics
Physical Sciences and Engineering Engineering Biomedical Engineering
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