<p>Classification comparison using network features and volumetric features with different numbers of training samples.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Performance comparison of Bayesian network classifiers using validation dataset.</p
<p>The classification performance is compared between our proposed method (four-layer network featur...
<p>The classification performance is compared between the four-layer network features in Method I an...
Comparison of the classification performance by the proposed network and other methods.</p
<p>The classification accuracy is plotted over different number of training samples. For a given num...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Comparison of using different data compositions of synthetic images for training the classifier and ...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Comparison results of different network models: A is training accuracy of model, B is validation acc...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of the learning accuracies using all the multi-scale features or only global graph fea...
Comparison of the average classification accuracy of the networks used in DeephESC and DeephESC 2.0....
<p>Comparison of network characteristics between the average network and individual networks.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Performance comparison of Bayesian network classifiers using validation dataset.</p
<p>The classification performance is compared between our proposed method (four-layer network featur...
<p>The classification performance is compared between the four-layer network features in Method I an...
Comparison of the classification performance by the proposed network and other methods.</p
<p>The classification accuracy is plotted over different number of training samples. For a given num...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Comparison of using different data compositions of synthetic images for training the classifier and ...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Comparison results of different network models: A is training accuracy of model, B is validation acc...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of the learning accuracies using all the multi-scale features or only global graph fea...
Comparison of the average classification accuracy of the networks used in DeephESC and DeephESC 2.0....
<p>Comparison of network characteristics between the average network and individual networks.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Performance comparison of Bayesian network classifiers using validation dataset.</p
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