Segmentation results for four slices from four patient.

<p>The first row shows the original images; the second row is segmentation results by applying Dirichlet process (DP) model to each image individually; the third row is the results of the proposed hierarchical DP (HDP) model, the last row is the segmentation results of random walk.</p

Object borders from manual tracing and segmentation algorithms for the forth slice.

<p>(a) manual analysis from a physician; (b) automatic results given by DP model; (c) automatic result of HDP model; (d) automatic result of random walk.</p

Segmentation results from slices from four patients.

<p>The first row shows the original images, the second row is segmentation results by applying DP model to each image individually, the third row is the results of the proposed model, the last row is the segmentation results of random walk.</p

Inference time for presented three methods for segmenting four slices in Section. segmentation from the same patient.

<p>The computation time for DP and random walk is the combined time for segmenting four slices.</p

Object borders by manual tracing and estimates from segmentation algorithms for the third slice.

<p>(a) manual analysis from a physician; (b) automatic results given by DP model; (c) automatic result of HDP model; (d) automatic result of random walk.</p

Jaccard index for segmented objects versus manual tracing.

<p>DP stands for segmentation model based on Dirichlet process, RW represents random walk model.</p

Segmentation results from slices from four patients.

<p>The first row shows the original images, the second row is segmentation results by applying DP model to each image individually, the third row is the results of the proposed model, the last row is the segmentation results of random walk.</p

Jaccard index for segmented vertebra and lungs.

<p>DP stands for single segmentation model based on Dirichlet process, RW represents random walk model.</p

Segmentation results for four slices from the same patient.

<p>The first row shows the original images; the second row is segmentation results by applying Dirichlet process (DP) model to each image individually; the third row is the results of the proposed hierarchical DP (HDP) model, the last row is the segmentation results of random walk.</p

Additional file 1: of Autologous cytokine-induced killer cell transfusion increases overall survival in advanced pancreatic cancer

Demographic and clinical characteristics of individual patient in chemotherapy group. (DOC 85 kb