Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2005-11-21
2010-11-23
Azarian, Seyed (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S224000, C378S062000
Reexamination Certificate
active
07840062
ABSTRACT:
A method for computer aided detection (CAD) and classification of regions of interest detected within HRCT medical image data includes post-CAD machine learning techniques applied to maximize specificity and sensitivity of identification of a region/volume as being a nodule or non-nodule. The regions are identified by a CAD process, and automatically segmented. A feature pool is identified and extracted from each segmented region, and processed by genetic algorithm to identify an optimal feature subset, which subset is used to train the support vector machine to classify candidate region/volumes found within non-training data.
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Boroczky Lilla
Lee Kwok Pun
Zhao Luyin
Azarian Seyed
Koninklijke Philips Electronics , N.V.
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