| 題目: |
Fast and Memory Efficient Segmentation of Lung Tumors Using Graph Cuts |
| 講員: |
Mr. Nicolas Lermé, University of Paris 13, France |
| 時間/地點: |
10:30 - 11:45
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
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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