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. Author manuscript; available in PMC: 2020 Jun 2.
Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2019 Mar 8;10951:109511A. doi: 10.1117/12.2512985

Figure 6:

Figure 6:

Representative results of binary cancer classification of the 5 testing patients. From left to right: HSI-RGB composite; histological ground truth showing variation in cancer margins with cancer area outlined; heat maps for cancer probability generated in two ways: 1. the CNN with pre-processed input alone, and 2. the method of additional HELICoiD+KNN filtering of the pre-processed CNN-generated probability maps. The extremes in the superficial cancer margin are overlaid on to the heat maps.