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. Author manuscript; available in PMC: 2016 Apr 26.
Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2016 Mar 21;9784:97842R. doi: 10.1117/12.2216966

Figure 2.

Figure 2

Summarized segmentation results for the Anura and AT datasets. Non-Local SIMPLE outperformed all other techniques on the Anura dataset (A). On the AT dataset Non-Locally Weighted Vote significantly outperformed all other techniques, but Non-Local SIMPLE still outperformed the previously gold-standard technique of Yang et al (A).Qualitatively, Non-Locally Weighted Vote seemed to oversegment the lobules whereas Non-Local SIMPLE tended to undersegment. The results of Yang et al visually produced results more consistent with the anatomic boundaries but had more internal boundary shifts than either Non-Locally Weighted Vote or Non-Local SIMPLE.