<p>3D segmentation result (left and middle image) and 2D segmentation result with the user-defined seed point in blue (rightmost image).</p
<p>A–E are volume rendered with the color-map's alpha values of 0.2. (A) The concave point detection...
<p>Left: object to segment (black). Middle: user-defined seed point for the square-based segmentatio...
<p>These screenshots present segmentation results on a sagittal (upper row) and an axial (lower row)...
Top view of the segmentation result for Area 2 (3D-connected regions are denoted using different col...
<p>Segmentation results (red) for three different cases of proposed algorithm at the <i>axial</i> he...
<p>Segmentation results (red) in axial and sagittal reformatting (blue arrow: position of the seed p...
Top view of the segmentation result for Area 3 (3D-connected regions are denoted using different col...
<p>3D visualizations of segmentation results: segmentation nodes and triangulated segmentation resul...
Top view of the segmentation result for Area 1 (3D-connected regions are denoted using different col...
<p>Segmentation results of proposed method (in red contour) with their respective ground truths (in ...
<p>(A) The original image. (B) The result of dual threshold. (C) The result of region growing thresh...
(a) Example frame from dataset DS7. (b) Example frame from dataset DS8. (c) Image segmentation for f...
<p>The fourth slice from the left contains also the user-defined seed point from which the segmentat...
<p>Superimposition of a manual segmentation result and a Cube-Cut segmentation result.</p
<p>Principle enhancement of the introduced 2D segmentation algorithm with a cube shape to a 3D segme...
<p>A–E are volume rendered with the color-map's alpha values of 0.2. (A) The concave point detection...
<p>Left: object to segment (black). Middle: user-defined seed point for the square-based segmentatio...
<p>These screenshots present segmentation results on a sagittal (upper row) and an axial (lower row)...
Top view of the segmentation result for Area 2 (3D-connected regions are denoted using different col...
<p>Segmentation results (red) for three different cases of proposed algorithm at the <i>axial</i> he...
<p>Segmentation results (red) in axial and sagittal reformatting (blue arrow: position of the seed p...
Top view of the segmentation result for Area 3 (3D-connected regions are denoted using different col...
<p>3D visualizations of segmentation results: segmentation nodes and triangulated segmentation resul...
Top view of the segmentation result for Area 1 (3D-connected regions are denoted using different col...
<p>Segmentation results of proposed method (in red contour) with their respective ground truths (in ...
<p>(A) The original image. (B) The result of dual threshold. (C) The result of region growing thresh...
(a) Example frame from dataset DS7. (b) Example frame from dataset DS8. (c) Image segmentation for f...
<p>The fourth slice from the left contains also the user-defined seed point from which the segmentat...
<p>Superimposition of a manual segmentation result and a Cube-Cut segmentation result.</p
<p>Principle enhancement of the introduced 2D segmentation algorithm with a cube shape to a 3D segme...
<p>A–E are volume rendered with the color-map's alpha values of 0.2. (A) The concave point detection...
<p>Left: object to segment (black). Middle: user-defined seed point for the square-based segmentatio...
<p>These screenshots present segmentation results on a sagittal (upper row) and an axial (lower row)...
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