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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25755

Title: Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis
Authors: Ma, Fei
Bajger, Mariusz
Bottema, Murk Jan
Keywords: Inclusion tree
Mammogram
Segmentation
Sublevel set
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Ma, F., Bajger, M. and Bottema, M. 2009. Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. 2009 International Conference on Digital Image Computing: Techniques and Appplications (DICTA), 236 - 241.
Abstract: A method based on sublevel sets is presented for refining segmentation of screening mammograms. Initial segmentation is provided by an adaptive pyramid (AP) scheme which is viewed as seeding of the final segmentation by sublevel sets. Performance is tested with and without prior anisotropic smoothing and is compared to refinement based on component merging. The combination of anisotropic smoothing, AP segmentation and sublevel refinement is found to outperform other combinations.
URI: http://hdl.handle.net/2328/25755
ISBN: 9781424452972
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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