<p>Performance of vessel segmentation methods using STARE dataset (i.e., the second manually segmented dataset as the “gold standard.”).</p
<p>Performance of different segmentation methods, in terms of sensitivity (<i>Se</i>), specificity (...
<p>There was no statistical difference between the two reconstructions in terms of vessel length (<i...
Abstract Background Arterial brain vessel segmentation allows utilising clinically relevant informat...
<p>Performance of multiple vessel segmentation methods using the STARE dataset (i.e., the first manu...
<p>Performance of multiple vessel segmentation methods using the DRIVE dataset.</p
<p>Comparison of performance between the recent studies according to the first class of the images, ...
<p>Comparison of performance between the recent studies according to the second class of the images,...
Average performance measurements and the associated standard deviation of the segmentation methods a...
<p>Comparison of the accuracy of unsupervised vessel segmentation algorithms as applied to the DRIVE...
<p>Retina vessel segmentation accuracy of different classifiers using 5-fold cross-validation on sam...
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
<p>(a) the accuracy comparison of the different methods using the first manually segmented results o...
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
Segmentation performance of different models on the ISPRS Vaihingen test set.</p
<p>(a) original image; (b) manually segmented images; (c) Manually segmented image with more small v...
<p>Performance of different segmentation methods, in terms of sensitivity (<i>Se</i>), specificity (...
<p>There was no statistical difference between the two reconstructions in terms of vessel length (<i...
Abstract Background Arterial brain vessel segmentation allows utilising clinically relevant informat...
<p>Performance of multiple vessel segmentation methods using the STARE dataset (i.e., the first manu...
<p>Performance of multiple vessel segmentation methods using the DRIVE dataset.</p
<p>Comparison of performance between the recent studies according to the first class of the images, ...
<p>Comparison of performance between the recent studies according to the second class of the images,...
Average performance measurements and the associated standard deviation of the segmentation methods a...
<p>Comparison of the accuracy of unsupervised vessel segmentation algorithms as applied to the DRIVE...
<p>Retina vessel segmentation accuracy of different classifiers using 5-fold cross-validation on sam...
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
<p>(a) the accuracy comparison of the different methods using the first manually segmented results o...
Performance comparison between our segmentation method and others for the Larva_s1 dataset.</p
Segmentation performance of different models on the ISPRS Vaihingen test set.</p
<p>(a) original image; (b) manually segmented images; (c) Manually segmented image with more small v...
<p>Performance of different segmentation methods, in terms of sensitivity (<i>Se</i>), specificity (...
<p>There was no statistical difference between the two reconstructions in terms of vessel length (<i...
Abstract Background Arterial brain vessel segmentation allows utilising clinically relevant informat...
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