Abstract

We propose a method for automatic segmentation of tubules in the stained thin sections of various tissue types. Tubules consist of one or more layers of cells surrounding a cavity. The segmented tubules can be used to study the morphology of the tissue. Some research has been done to automatically estimate the density of tubules. To the best of our knowledge, no one has been able to, fully automatically, segment the whole tubule. Usually the border between tubules is subtle and appears broken in a straight-forward segmentation. Here we suggest delineating these borders using the geodesic distance transform. We apply this method on images of Periodic Acid Shiffs (PAS) stained thin sections of testicular tissue, delineating 89% of the tubules correctly.

Published in

Title: 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)
ISBN: 978-1-4673-2180-8
Publisher: Institute of Electrical and Electronics Engineers

Conference

2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)

SLU Authors

• Fakhrzadeh, Azadeh

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

• Spörndly-Nees, Ellinor

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

• Holm, Lena

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    

• Luengo, Cris

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Medical Image Processing


Publication identifier

DOI: https://doi.org/10.1109/DICTA.2012.6411735

Permanent link to this page (URI)

https://res.slu.se/id/publ/41191