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Segmentation of Histopathological Sections Using Snakes
Malmö högskola, School of Technology (TS).
CellaVision AB, Ideon Research Park, Lund, Sweden.
Malmö högskola, School of Technology (TS).
2003 (English)In: Image Analysis: 13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings, Springer, 2003, Vol. 2749, p. 595-602Conference paper, Published paper (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.

Place, publisher, year, edition, pages
Springer, 2003. Vol. 2749, p. 595-602
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 2749
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-2374DOI: 10.1007/3-540-45103-X_79ISI: 000185178400079Scopus ID: 2-s2.0-35248870243Local ID: 563ISBN: 978-3-540-40601-3 (print)ISBN: 978-3-540-45103-7 (electronic)OAI: oai:DiVA.org:mau-2374DiVA, id: diva2:1399127
Conference
13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-12-12Bibliographically approved

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