Detection Of Ductus In Mammary Gland Tissue By Computer Vision
Author(s)
K. Mele & A. Leonardis
Abstract
Detection of ductus in mammary gland tissue
by computer vision
K. Mele & A. Leonardis
Computer Vision Laboratory
Faculty of Computer and Information Science
University of Ljubljana
TriaSka 25, 1000 Ljubljana, Slovenia
Abstract
In cell nucleus images of mammary gland tissue, both features of the nucleus and
nuclei group shapes serve as cancer diagnosis criteria. Also, further treatment is
dependent on the information about the cell nucleus spatial arrangement formed
by malignant, potentially malignant, and normal ductus.
In this paper we present an automatic image analysis method that we developed
for detecting the structures of nucleus clumps that represent boundaries of ductus.
The method consist of the following stages applied in succession: segmentation
with a threshold, greedy algorithm, relaxation, and graph search.
We tested our algorithm on images of mammary glands tissue. The results indicate
that the method can distinguish between healthy ducts that have regular shapes
and the malig
Keywords
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