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The performance of the proposed method was evaluated using as metric the statistical parameters calculated from error matrix. The results revealed that the proposed object-oriented classification approach using either k-nearest-neighbor or support vector machine as classification methods performed well in detecting bone metastasis in terms of overall accuracy (86.62±2.163% and 86.81±2.137% respectively) and kappa coefficient (0.6395±0.0143 and 0.6481±0.0218 respectively). In conclusion, the described method provided encouraging results
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