Texture Classifier Robustness for Sub-Organ Sized Windows

Automated identification of organs in medical imaging is becoming possible using texture analysis on whole organ cross-sections. However, there exists a need to identify organs using smaller sub-sections, or sub-regions, of organs. Two motivations drives this research: first, segmenting organs from the backgrounds of images requires significant manual intervention; second, this technique will be applied when a clinicial selects a region of interest and requests an identification of the organ currently selected. This research addresses the question of how well does the classifier perform as the window size becomes smaller