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. 2014 Oct 10;1(3):034003. doi: 10.1117/1.JMI.1.3.034003

Fig. 5.

Fig. 5

Workflow of the cascaded ensemble, which comprises two stages. First, we perform classification with CNN-learned and handcrafted features individually, and if the two classification scores are consistent, a binary decision (mitosis/nonmitosis) will be made directly. Second, for those instances whose individual classification scores are highly inconsistent, we classify them again by combining their CNN and handcrafted features.