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  • 1.
    Karlsson, Adam
    et al.
    Malmö högskola, School of Technology (TS).
    Heyden, Anders
    Malmö högskola, School of Technology (TS).
    Stråhlén, K
    Segmentation of Histopathological Sections Using Snakes2003In: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, Vol. 2749, p. 595-602Article in journal (Refereed)
    Abstract [en]

    This paper presents a semi-automatic method for segmentation of digital images. The segmentation method is based on snakes and a novel implementation of the snake evolution algorithm is presented. Analytical expressions describing the snake evolution are derived using the Fourier transform. These expressions can be sampled and used in a fast algorithm for snake propagation. Experiments are carried out on images of histopathological tissue sections and the results are very promising. In particular the method is able to cope with overlapping nuclei.

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