<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Performance comparison of CNN models with different region sizes and other baseline models.</p
Segmentation performance of different models on the ISPRS Vaihingen test set.</p
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
<p>The performance of different methods in terms of in terms of Se, Sp, Acc and Auc.</p
<p>Performance of different segmentation methods, in terms of sensitivity (<i>Se</i>), specificity (...
<p>Performance of multiple vessel segmentation methods using the STARE dataset (i.e., the first manu...
<p>Comparison of performance for various features from whole, manually segmented, and automatically ...
<p>Segmentation performance comparisons using Rand Index scores on the SHREC’11 3D shape dataset.</p
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>Performance of vessel segmentation methods using STARE dataset (i.e., the second manually segment...
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p
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
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Performance comparison of CNN models with different region sizes and other baseline models.</p
Segmentation performance of different models on the ISPRS Vaihingen test set.</p
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
<p>The performance of different methods in terms of in terms of Se, Sp, Acc and Auc.</p
<p>Performance of different segmentation methods, in terms of sensitivity (<i>Se</i>), specificity (...
<p>Performance of multiple vessel segmentation methods using the STARE dataset (i.e., the first manu...
<p>Comparison of performance for various features from whole, manually segmented, and automatically ...
<p>Segmentation performance comparisons using Rand Index scores on the SHREC’11 3D shape dataset.</p
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>Performance of vessel segmentation methods using STARE dataset (i.e., the second manually segment...
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>Performance comparisons between three different models using breast cancer datasets.</p
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
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Performance comparison of CNN models with different region sizes and other baseline models.</p
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