Fully Automatic Organ Localization in Medical Images Using Improved Random Regression Forests

The article presents the use of an improved random regression forest method to localize multiple organs in Computed Tomography (CT) images. The method was trained using 50 CT images and tested on 25 CT images yielding 15.66 % improvement on the localization with respect to the bounding wall prediction error compared to the state of the art results.