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stratifikationsverfahren to overcome ungleichmu00e4ssiger fallanzahl in computer lungenknoten - false positive reduction
stratifikationsverfahren to overcome ungleichmu00e4ssiger fallanzahl in computer lungenknoten - false positive reduction
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机译:分层程序以克服计算机肺结节病例数不均的情况-假阳性减少
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摘要
A method for computer aided detection (CAD) and classification of regions of interest detected within HRCT medical image data. The method 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, wherein a data stratification method is used to balance the number of cases in different classes. The subset determined by GA is used to train the support vector machine to classify candidate region/volumes found within non-training data.
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