Thyroid cancer cells boundary location by a fuzzy edge detectionmethod
Leung, C.C.
Chan, F.H.Y.
Lam, K.Y.
Kwok, P.C.K.
Chen, W.F.
Hong Kong Univ.;
This paper appears in: Pattern Recognition, 2000. Proceedings. 15th International Conference on
Publication Date: 2000
Volume: 4,
On page(s): 360-363 vol.4
Meeting Date: 09/03/2000 - 09/07/2000
Location: Barcelona, Spain
ISBN: 0-7695-0750-6
References Cited: 8
INSPEC Accession Number: 6912312
Digital Object Identifier: 10.1109/ICPR.2000.902933
Current Version Published: 2002-08-06
Abstract
Morphometric assessment of tumor cells is important in the
prediction of biological behavior of thyroid cancer. In order to
automate the process, the computer-based system has to recognize the
boundary of the cells. Many methods for the boundary detection have
appeared in the literature and some of them applied to microscopic slice
analysis. However, there is no reliable method since the gray-levels in
the nuclei are uneven and are similar to the background. In the paper, a
fuzzy edge detection method is used and is based on an improved
generalized fuzzy operator. The method enhances the nuclei and
effectively separates the cells from the background
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