<p>Comparing the characteristics of presumptive TB cases evaluated by algorithm.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison with PBF and DS preprocessing methods using different learning machine algorithms.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Comparison of the nodule detection performances of algorithm A and algorithm B.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparison of TB screening and diagnosis in implementation zone prior and during the implementati...
Comparison of the classification performance by the proposed network and other methods.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Comparison between complete case analysis and multiple imputation analysis.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison with PBF and DS preprocessing methods using different learning machine algorithms.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Comparison of the nodule detection performances of algorithm A and algorithm B.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>The comparison of computational efficiency of each algorithm on the test functions.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Comparison of TB screening and diagnosis in implementation zone prior and during the implementati...
Comparison of the classification performance by the proposed network and other methods.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Comparison between complete case analysis and multiple imputation analysis.</p
<p>Comparing the performance of the proposed method with other existing methods.</p
<p>Comparison with PBF and DS preprocessing methods using different learning machine algorithms.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
DOI
Add to ORKG