Symmetric and Multi-Scale Features for Automatic Segmentation of Multiple Sclerosis Lesions using Pattern Classification
نویسندگان
چکیده
Figure 2: Average DICE scores, across all test subjects, versus threshold for the different classifiers (NN top; RF bottom) colours given in text. Figure 3: Best DICE scores for each subject in the testing set (NN top; RF bottom) – colours given in text. Figure 1: Illustration of MultiScale Feature (left=original image; middle=segmentation; right=3x3 multi-scale features) Symmetric and Multi-Scale Features for Automatic Segmentation of Multiple Sclerosis Lesions using Pattern Classification
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