<p>Direct comparison of the number of voxel for the manual segmentations (Ground truth A and Ground truth B) and the semi-automatic GrowCut segmentations (algorithmic) for all ten cases with the minimum (Min), maximum (Max), mean (<i>μ</i>) values and standard deviation (<i>σ</i>), respectively is shown.</p
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
<p>Plots between manual (Ground truth A, B) and GrowCut (Algorithmic) segmentations are similar, pro...
<p>The last column presents the time in minutes (min.) for the manual segmentations; in contrast, an...
<p>From left to right: original T1, T2, FA images and results of Voxelwise Expectation-Maximization ...
<p>The last column presents the time in minutes (min.) for the manual segmentations, in contrast, an...
<p>Regression analysis of voxel measurements: Voxel measurement distributions are similar along the ...
(A) Manual segmentation (red) showed consistently higher mean pixel intensity than machine segmentat...
<p><b>A</b> is the 3D reconstruction of 15 slices using the automatic segmentation algorithm. <b>B</...
Comparison between the number of voxels/octants used to achieve a resolution with a homogenous voxel...
<p>The light green dashed circle indicates the holes in the binarization step, and the light yellow ...
<p>Direct comparison of manual slice-by-slice and Slicer-based GrowCut segmentation results for ten ...
<p>(A) the conventional DSM; (B) DSM constraint by gradient image; (C) DSM constraint by the gradien...
<p>Comparisons of Hausdorff Distances (HD, voxel) including minimum (Min), maximum (Max), mean (<i>μ...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
<p>Plots between manual (Ground truth A, B) and GrowCut (Algorithmic) segmentations are similar, pro...
<p>The last column presents the time in minutes (min.) for the manual segmentations; in contrast, an...
<p>From left to right: original T1, T2, FA images and results of Voxelwise Expectation-Maximization ...
<p>The last column presents the time in minutes (min.) for the manual segmentations, in contrast, an...
<p>Regression analysis of voxel measurements: Voxel measurement distributions are similar along the ...
(A) Manual segmentation (red) showed consistently higher mean pixel intensity than machine segmentat...
<p><b>A</b> is the 3D reconstruction of 15 slices using the automatic segmentation algorithm. <b>B</...
Comparison between the number of voxels/octants used to achieve a resolution with a homogenous voxel...
<p>The light green dashed circle indicates the holes in the binarization step, and the light yellow ...
<p>Direct comparison of manual slice-by-slice and Slicer-based GrowCut segmentation results for ten ...
<p>(A) the conventional DSM; (B) DSM constraint by gradient image; (C) DSM constraint by the gradien...
<p>Comparisons of Hausdorff Distances (HD, voxel) including minimum (Min), maximum (Max), mean (<i>μ...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...
In medical imaging, segmentation ground truths generally suffer from large inter-observer variabilit...