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Method for increasing the robustness of computer-aided diagnosis to image processing uncertainties
Method for increasing the robustness of computer-aided diagnosis to image processing uncertainties
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机译:提高计算机辅助诊断对图像处理不确定性的鲁棒性的方法
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摘要
A classifier (20) is trained by a feature matrix (18, 18′) made up of feature vectors (F11, . . . , Fkm). The feature vectors are generated by operating on each of a plurality (k) of training image data sets with each of a plurality (m) of image processing algorithms (121, . . . , 12m) to generate processed and segmented images. Features of the segmented regions are extracted (14) to generate the feature vectors. In this manner, the classifier is trained with data generated with a variety of image processing algorithms.
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