<p>The red, blue and green lines correspond to the true positive rate (TPR), the false positive rate (FPR), and the Dice coefficient (Dice).</p
<p>Dice similarity coefficients (DSC) of segmentation results using our approach and three predefine...
<p>*–Represents the best outcome based on comparison between two manual raters</p><p><sup>^</sup>–Re...
<p>In A) different color lines represent the different likelihood-based algorithms tested for popula...
<p>Performance metrics results on 3D soma segmentation. TPR = True Positive Rate, FPR = False Positi...
<p>Depicted is the mean Dice coefficient that was reached by each of the five standard segmentation ...
<p>Performance metrics results on the soma segmentation of <a href="http://www.plosone.org/article/i...
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial SPM 12 and ...
<p>The binary segmentations for each classification algorithm are at a threshold of false positive r...
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial CBS tools a...
(a) In the segmentation quality measurements, there are 4 regions to be considered as: True positive...
PT = Prediction Threshold, Dice = Dice’s coefficient, FS = fixed-stride, OBP = object-based position...
<p>Boxplots of the Dice score (a), True Positive rate (b), False positive rate (c), and MAD score (d...
This article presents the performance analysis of different segmentation techniques. Global threshol...
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
<p>Segmentation performance comparisons using Rand Index scores on the SHREC’11 3D shape dataset.</p
<p>Dice similarity coefficients (DSC) of segmentation results using our approach and three predefine...
<p>*–Represents the best outcome based on comparison between two manual raters</p><p><sup>^</sup>–Re...
<p>In A) different color lines represent the different likelihood-based algorithms tested for popula...
<p>Performance metrics results on 3D soma segmentation. TPR = True Positive Rate, FPR = False Positi...
<p>Depicted is the mean Dice coefficient that was reached by each of the five standard segmentation ...
<p>Performance metrics results on the soma segmentation of <a href="http://www.plosone.org/article/i...
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial SPM 12 and ...
<p>The binary segmentations for each classification algorithm are at a threshold of false positive r...
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial CBS tools a...
(a) In the segmentation quality measurements, there are 4 regions to be considered as: True positive...
PT = Prediction Threshold, Dice = Dice’s coefficient, FS = fixed-stride, OBP = object-based position...
<p>Boxplots of the Dice score (a), True Positive rate (b), False positive rate (c), and MAD score (d...
This article presents the performance analysis of different segmentation techniques. Global threshol...
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
<p>Segmentation performance comparisons using Rand Index scores on the SHREC’11 3D shape dataset.</p
<p>Dice similarity coefficients (DSC) of segmentation results using our approach and three predefine...
<p>*–Represents the best outcome based on comparison between two manual raters</p><p><sup>^</sup>–Re...
<p>In A) different color lines represent the different likelihood-based algorithms tested for popula...
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