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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Learn MoreProf. M. Cheng, Dr. Y. S. Hon, Dr. K. F. Lam, Prof. L. Ling, Dr. T. Tong and Prof. L. Zhu have been awarded research grants by Hong Kong Research Grant Council (RGC) — congratulations!
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