35 research outputs found

    Comparison of the segmentation accuracies for different methods.

    No full text
    <p>(A) the conventional DSM; (B) DSM constraint by gradient image; (C) DSM constraint by the gradient and binary forces; (D) DSM constraint by gradient, binary, and balloon forces; (E) AMEM: DSM constraint by gradient, binary, balloon forces, and with adaptive triangular facet decomposition.</p

    Segmentation results of four livers (A to D).

    No full text
    <p>(A<sub>1</sub>) to (D<sub>1</sub>) show the meshes of the liver; (A<sub>2</sub>) to (D<sub>2</sub>) show the wired grid of the liver; (A<sub>3</sub>) to (D<sub>3</sub>) show the ground truth of the liver surface; (A<sub>4</sub>) to (D<sub>4</sub>) show the color map of the segmentation error on the surface of the liver.</p

    Segmentation results of the proposed method and the conventional DSM-based method.

    No full text
    <p>(A), (B) and (C) are three different data sets; (a) and (b) show the initialization and the finalized states of the deformation model; (c) shows the 3D meshes of the segmented liver.</p
    corecore