<p>Comparison of performance for various features from whole, manually segmented, and automatically segmented CXRs.</p
<p>Performance comparison and statistical analysis of different sizes of the dictionary and features...
<p>Performance of different feature combinations for disease detection and quantification.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p
<p>Performance comparison of the best DCBS and TTB systems with the different feature sets.</p
<p>Comparison of performance between selected best 4 features vs all 44 features.</p
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
<p>(a) Performance comparison between the sparse combined features (INRIA). (b) Performance comparis...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
<p>Performance comparison of different values of <i>σ</i> for multimodal function.</p
<p>Performance measures comparisons with state-of-the-art CBIR techniques on the Caltech-256 image c...
<p>Performance comparison and statistical analysis of different sizes of the dictionary and features...
<p>Performance of different feature combinations for disease detection and quantification.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p
<p>Performance comparison of the best DCBS and TTB systems with the different feature sets.</p
<p>Comparison of performance between selected best 4 features vs all 44 features.</p
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
<p>(a) Performance comparison between the sparse combined features (INRIA). (b) Performance comparis...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
<p>Performance comparison of different values of <i>σ</i> for multimodal function.</p
<p>Performance measures comparisons with state-of-the-art CBIR techniques on the Caltech-256 image c...
<p>Performance comparison and statistical analysis of different sizes of the dictionary and features...
<p>Performance of different feature combinations for disease detection and quantification.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p