Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs

11/14/2019

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by   Jeremiah W. Johnson, et al.

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Invasive ductal carcinoma (IDC) comprises nearly 80 The detection of IDC is a necessary preprocessing step in determining the aggressiveness of the cancer, determining treatment protocols, and predicting patient outcomes, and is usually performed manually by an expert pathologist. Here, we describe a novel algorithm for automatically detecting IDC using semi-supervised conditional generative adversarial networks (cGANs). The framework is simple and effective at improving scores on a range of metrics over a baseline CNN.