Segmentation results of Pt #2.

<p>(a) Segmentation of lesion in the left choroid plexus; (b): zoomed-in of the transverse view in (a).</p

Segmentation results.

<p>(a) the large tumor (2.532cc), auto-contours from intensity-based method (blue) and En-DeepMedic method (green) overlaid on physician drawn contour (red); (b) zoomed-in view of ROI in orange rectangle in (a); (c) the small tumor (0.537cc), auto-contours from En-DeepMedic method (green) overlaid on physician drawn contour (red); (d) zoomed-in view of ROI in orange rectangle in (c).</p

Comparison geometrical metric values of En-DeepMedic and intensity-based method on small- and large-size brain metastases tumors.

<p>Comparison geometrical metric values of En-DeepMedic and intensity-based method on small- and large-size brain metastases tumors.</p

Hyper parameters used in this study.

<p>Hyper parameters used in this study.</p

The quantitative metrics of the En-DeepMedic with different local patch size.

<p>The quantitative metrics of the En-DeepMedic with different local patch size.</p

Box plots of geometrical metrics.

<p>(a) DCs, (b) MSSD, and (c) SDSSD of 5-fold cross validation with BRATS data using En-DeepMedic. The red line and cyan diamond inside each box denote medium value and mean value, respectively. The magenta star indicates the mean value of the geometrical metrics results from DeepMedic.</p

Illustration of image patch extraction.

<p>Illustration of image patch extraction.</p

Performance of DCs (±SD) in BRATS challenge 2015.

<p>Performance of DCs (±SD) in BRATS challenge 2015.</p

ROC curve of the En-DeepMedic with different local patch size.

<p>ROC curve of the En-DeepMedic with different local patch size.</p

Box plots of clinical patient data 5-fold cross validation results.

<p>(a) DCs, (b) MSSD, and (c) SDSSD using the En-DeepMedic method. The red line and the cyan diamond inside each box denote medium value and mean value, respectively.</p