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. Author manuscript; available in PMC: 2018 May 4.
Published in final edited form as: Comput Methods Biomech Biomed Eng Imaging Vis. 2016 Apr 28;6(3):270–276. doi: 10.1080/21681163.2016.1141063

Figure 2.

Figure 2

Six examples of (a) the negative class show large areas of stroma which are notably different than (b) the positive nuclei class and tend to be very easily classified. To compensate, we supplement the training set with (c) patches which are exactly on the edge of the nuclei, forcing the network to learn boundaries better.