Segmentation of Histopathological Sections Using Snakes

DSpace Repository

Segmentation of Histopathological Sections Using Snakes

Details

Files for download

Find Full text There are no files associated with this item..

Overview of item record
Publication Article, peer reviewed scientific
Title Segmentation of Histopathological Sections Using Snakes
Author Karlsson, A ; Heyden, Anders ; Stråhlén, K
Date 2003
English abstract
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.
Publisher Springer-Verlag
Host/Issue Lecture Notes in Computer Science
Volume 2749
ISSN 0302-9743
Pages 595 - 602
Language eng (iso)
Handle http://hdl.handle.net/2043/563 Permalink to this page
Facebook

This item appears in the following Collection(s)

Details

Search


Browse

My Account

Statistics