Locating Blood Cells in Digital Video with an Artificial Neural Network
نویسنده
چکیده
This paper documents the design and testing of a software system which automates the task of extracting the two-dimensional cartesian coordinates of human neutrophils from subsequent video frames captured by a Scion Frame Grabber. A single output Radial Basis Function (RBF) neural network is utilized for the recognition of cells as well as determining the cell’s exact position. The semi-automated training set construction and learning techniques are presented. The resulting algorithm is an accurate and computationally efficient blood cell locator suitable for real-time systems.
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تاریخ انتشار 2006