Interactive Border Detection In Cellular Images Using A Kohonen Neural Network
Price
Free (open access)
Transaction
Volume
3
Pages
7
Published
1996
Size
876 kb
Paper DOI
10.2495/BSIM960181
Copyright
WIT Press
Author(s)
V. Barrios, A. Reigosa & G. Montilla
Abstract
During cancer tissue analysis, specialists frequently must observe parameters such as cellular size, shape, arrangement and the amount of cells present, in order to diagnose. The first step in this job is tracing the borders. This work develops an interactive auxiliary method that enables the physician to trace cells' borders as they are selected in a microscopic image. The method is based on gradient and gray-level analysis over a series of radial lines, originating at the selected cell's center. A series of points is obtained from such analysis. Several points are selected as part of the border, using similarity criteria and a slightly
Keywords