The quantitative comparison of our approach with three related works for segmentation on the two data sets.</p
<p>Quantitative results associated with different algorithms for the abdominal image.</p
<p>Comparison of results from our analyses and from two MetaPhlAn based analyses.</p
<p>Comparison of specificity by different methods on four binary classification data sets.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Comparison of the measurements between the three models, for each measurement.</p
Side-to-stide comparison within the three studied groups in terms of analysed parameters.</p
<p>A comparison between the average processing time of different segmentation methods per image.</p
<p>Comparison of visualization techniques on the basis of typical measurement systems.</p
<p>Comparative study between manual and automatic segmentation according to their time consumption.<...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
<p>Quantitative results associated with different algorithms for the abdominal image.</p
<p>Comparison of results from our analyses and from two MetaPhlAn based analyses.</p
<p>Comparison of specificity by different methods on four binary classification data sets.</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Comparison of the measurements between the three models, for each measurement.</p
Side-to-stide comparison within the three studied groups in terms of analysed parameters.</p
<p>A comparison between the average processing time of different segmentation methods per image.</p
<p>Comparison of visualization techniques on the basis of typical measurement systems.</p
<p>Comparative study between manual and automatic segmentation according to their time consumption.<...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
<p>Quantitative results associated with different algorithms for the abdominal image.</p
<p>Comparison of results from our analyses and from two MetaPhlAn based analyses.</p
<p>Comparison of specificity by different methods on four binary classification data sets.</p
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