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Event(s) on September 2010

  • Thursday, 30th September, 2010

    Title: Fast and Memory Efficient Segmentation of Lung Tumors Using Graph Cuts
    Speaker: Mr. Nicolas Lermé, University of Paris 13, France
    Time/Place: 10:30  -  11:45
    FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
    Abstract: In medical imaging, segmenting accurately lung tumors remains a quite challenging task when they are directly in contact with healthy tissues. During this talk, we address the problem of extracting interactively these tumors with graph cuts. The originality of this work consists in (1) reducing input graphs to decrease drastically memory consumption when segmenting a large volume of data and (2) introducing a novel energy formulation to inhibit the propagation of the object seeds. We detail our strategy to achieve relevant segmentations of lung tumors and compare our results to hand made segmentations provided by an expert. Comprehensive experiments show how our method can give solutions near from ground truth in a fast and memory efficient way.



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