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Analiza slik celičnih jeder z računalniškim vidom

Katarina Mele (2000) Analiza slik celičnih jeder z računalniškim vidom. EngD thesis.

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    Abstract

    This work deals with cell nucleus segmentation and the edge detection of the clumps formed by nuclei. The fact is that it is both cell nucleus features and clump shapes that serve as cancer diagnosis criteria. In addition, the work includes several procedures of cell nucleus segmentation described in publications on computing. The author has developed a method for the edge detection of nucleus clumps. It is based on grouping techniques with the greedy algorithm, relaxation and the graph search. The analysis is followed by some examples showing the use of the edge detection method. Differences between normal and malignant ducts are shown on the basis of some pictures of mammary glands. Finally, some improvements and future work extensions are suggested.

    Item Type: Thesis (EngD thesis)
    Keywords: computer vision, segmentation, breast cancer, cytology, relaxation, graph search, greedy algorithm
    Language of Content: Slovenian
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=2298196)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 26
    Date Deposited: 17 Jan 2003
    Last Modified: 13 Aug 2011 00:31
    URI: http://eprints.fri.uni-lj.si/id/eprint/26

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