Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2011-03-22
2011-03-22
Chawan, Sheela C (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S195000, C382S224000
Reexamination Certificate
active
07912278
ABSTRACT:
A method and system correlate candidate information and provide batch classification of a number of related candidates. The batch of candidates may be identified from a single data set. There may be internal correlations and/or differences among the candidates. The candidates may be classified taking into consideration the internal correlations and/or differences. The locations and descriptive features of a batch of candidates may be determined. In turn, the locations and/or descriptive features determined may used to enhance the accuracy of the classification of some or all of the candidates within the batch. In one embodiment, the single data set analyzed is associated with an internal image of patient and the distance between candidates is accounted for. Two different algorithms may each simultaneously classify all of the samples within a batch, one being based upon probabilistic analysis and the other upon a mathematical programming approach. Alternate algorithms may be used.
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Fung Glenn
Krishnapuram Balaji
Rao R. Bharat
Vural Volkan
Chawan Sheela C
Ryan Joshua B.
Siemens Medical Solutions USA , Inc.
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