Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-05-06
2008-05-06
Mehta, Bhavesh M. (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S224000, C382S128000, C382S228000, C382S129000, C702S021000, C435S006120
Reexamination Certificate
active
07369696
ABSTRACT:
A method of classifying cells into subpopulations using cell classifying data is described. The method comprises receiving and analyzing image data to identify object areas in the image data to determine, for at least one selected first cell, one or more measurements. A first parameter set is derived from the measurements for the first cell, the first parameter set comprising at least one of said one or more measurements. The first set of cells are classified into subpopulations, and identified to produce first identifying data. Cell classifying data for use in classifying a second set of cells into subpopulations is derived from the first parameter set and the first identifying data. A second set of cells is classified into subpopulations on the basis of one or more measurements taken for cells in the second set of cells, by use of the cell classifying data. The parameter sets of cells may be represented as vectors in an n-dimensional space.
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Alexandrov Yuriy
Arini Nick
Cybuch Jurek
Dagenais Louis
Goodyer Ian
Bentley Dwayne L.
GE Healthcare UK Limited
Mehta Bhavesh M.
Thomas Mia M
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