Title: Computer-aided detection and segmentation of objects on medical images
Authors: Belikova, Tatjana
Plenichka, Roman
Ivasenko, Iryna
Citation: WSCG '2002: Short Communication Papers: The 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2002, 4.-8. February 2002 Plzeň: Conference proceedings, p. 161-168.
Issue Date: 2002
Publisher: UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2002/Papers_2002/A19.ps.zip
ISBN: 1213-6972 (hardcopy)
1213-6980 (CD-ROM)
1213-6964 (on-line)
Keywords: segmentace objektů;lékařské zobrazování;detekce objektů
Keywords in different language: object segmentation;medical imaging;object detection
Abstract: Series of methods for improved detecting and segmenting objects, situated on a complex background, have been developed. Model-based detection was applied for automatic detection and segmentation of the objects of interest on initial images and images after optimal filtering. The optimal linear filter was used to improve imaging of the object (its details and margin) on the observed image. Filtering of small-size details to improve false alarm and misdetection rates then followed the segmentation procedure. Developed series of methods were tested on test images and real medical images (lung tomograms) with small solitary nodules. A comparison of segmentation results obtained before and after optimal filtering showed that optimal filtering allows to outline the object region on medical images better and helps to identify more precisely the object margin. The developed series of methods can be useful for computer-assisted detection, segmentation, and analysis of low contrast flaws (lesions) on a complex image background that is important for solving of numerous medical tasks and for technical tasks of material inspection.
Rights: © UNION Agency
Appears in Collections:WSCG '2002: Short Communication Papers

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/6050

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